메뉴 건너뛰기




Volumn 55, Issue 8, 2012, Pages 1722-1754

Sparse microwave imaging: Principles and applications

Author keywords

compressive sensing; radar imaging; sparse microwave imaging; sparse signal processing; synthetic aperture radar

Indexed keywords


EID: 84864319384     PISSN: 1674733X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11432-012-4633-4     Document Type: Review
Times cited : (195)

References (203)
  • 2
    • 0001332732 scopus 로고    scopus 로고
    • Principles and applications of imaging radar
    • New York: John Wiley and Sons
    • Henderson F M, Lewis A J. Principles and applications of imaging radar. In: Manual of Remote Sensing. New York: John Wiley and Sons, 1998.
    • (1998) Manual of Remote Sensing
    • Henderson, F.M.1    Lewis, A.J.2
  • 4
    • 84944981471 scopus 로고
    • Synthetic aperture radars: a paradigm for technology evolution
    • Wiley C A. Synthetic aperture radars: a paradigm for technology evolution. IEEE Trans Aerosp Electron Syst, 1985: 21: 440-443.
    • (1985) IEEE Trans Aerosp Electron Syst , vol.21 , pp. 440-443
    • Wiley, C.A.1
  • 5
    • 0003562280 scopus 로고    scopus 로고
    • Wikipedia
    • Wikipedia. Synthetic Aperture Radar. https://en. wikipedia. org/wiki/Synthetic_aperture_radar.
    • Synthetic Aperture Radar
  • 6
    • 84864322993 scopus 로고    scopus 로고
    • NASA. Missions-Seasat 1
    • NASA. Missions-Seasat 1. http://science. nasa. gov/missions/seasat-1/.
  • 7
    • 0019004368 scopus 로고
    • The Seasat-A synthetic aperture radar system
    • Jordan R L. The Seasat-A synthetic aperture radar system. IEEE J Ocean Eng, 1980, 5: 154-164.
    • (1980) IEEE J Ocean Eng , vol.5 , pp. 154-164
    • Jordan, R.L.1
  • 8
    • 84864305360 scopus 로고    scopus 로고
    • CSA. CSA: RadarSat-1
    • CSA. CSA: RadarSat-1. http://www. asc-csa. gc. ca/eng/satellites/radarsat1/.
  • 12
    • 0347523939 scopus 로고
    • An introduction to synthetic-aperture radar
    • Brown W M, Porcello L J. An introduction to synthetic-aperture radar. IEEE Spectrum, 1969, 6: 52-62.
    • (1969) IEEE Spectrum , vol.6 , pp. 52-62
    • Brown, W.M.1    Porcello, L.J.2
  • 14
    • 0031696792 scopus 로고    scopus 로고
    • Cramming more components onto integrated circuits
    • Moore G E. Cramming more components onto integrated circuits. Electron Mag, 1998, 86: 82-85.
    • (1998) Electron Mag , vol.86 , pp. 82-85
    • Moore, G.E.1
  • 17
    • 79957590676 scopus 로고
    • Certain topics in telegraph transmission theory
    • Nyquist H. Certain topics in telegraph transmission theory. Trans Amer Inst Electr Engin, 1928, 47: 617-644.
    • (1928) Trans Amer Inst Electr Engin , vol.47 , pp. 617-644
    • Nyquist, H.1
  • 18
    • 84911837213 scopus 로고
    • Communication in the presence of noise
    • Shannon C E. Communication in the presence of noise. Proc IRE, 1949, 37: 10-21.
    • (1949) Proc IRE , vol.37 , pp. 10-21
    • Shannon, C.E.1
  • 19
    • 77952678579 scopus 로고    scopus 로고
    • Applications of sparse representation and compressive sensing
    • Baraniuk R G, Candès E, Elad M, et al. Applications of sparse representation and compressive sensing. Proc IEEE, 2010, 98: 906-09.
    • (2010) Proc IEEE , vol.98 , pp. 906-909
    • Baraniuk, R.G.1    Candès, E.2    Elad, M.3
  • 21
    • 33645712892 scopus 로고    scopus 로고
    • Compressed Sensing
    • Donoho D L. Compressed Sensing. IEEE Trans Inf Theory, 2006. 52: 1289-1306.
    • (2006) IEEE Trans Inf Theory , vol.52 , pp. 1289-1306
    • Donoho, D.L.1
  • 22
    • 33947416035 scopus 로고    scopus 로고
    • Near-optimal signal recovery from random projections: Universal encoding strategies?
    • Candès E J, Tao T. Near-optimal signal recovery from random projections: Universal encoding strategies? IEEE Trans Inf Theory, 2006, 52: 5406-5425.
    • (2006) IEEE Trans Inf Theory , vol.52 , pp. 5406-5425
    • Candès, E.J.1    Tao, T.2
  • 23
    • 33745604236 scopus 로고    scopus 로고
    • Stable signal recovery from incomplete and inaccurate measurements
    • Candès E J, Romberg J K, Tao T. Stable signal recovery from incomplete and inaccurate measurements. Commun Pure Appl Math, 2006, 59: 1207-1223.
    • (2006) Commun Pure Appl Math , vol.59 , pp. 1207-1223
    • Candès, E.J.1    Romberg, J.K.2    Tao, T.3
  • 24
    • 78049294238 scopus 로고    scopus 로고
    • Super-resolution with sparse mixing estimators
    • Mallat S, Yu G. Super-resolution with sparse mixing estimators. IEEE Trans Image Process, 2010, 19: 2889-2900.
    • (2010) IEEE Trans Image Process , vol.19 , pp. 2889-2900
    • Mallat, S.1    Yu, G.2
  • 26
    • 77954545382 scopus 로고    scopus 로고
    • Sparse channel estimation for multicarrier underwater acoustic communication: from subspace methods to compressed sensing
    • Berger C R, Zhou S, Preisig J, et al. Sparse channel estimation for multicarrier underwater acoustic communication: from subspace methods to compressed sensing. IEEE Trans Signal Process, 2010, 58: 1708-1721.
    • (2010) IEEE Trans Signal Process , vol.58 , pp. 1708-1721
    • Berger, C.R.1    Zhou, S.2    Preisig, J.3
  • 29
    • 75249100769 scopus 로고    scopus 로고
    • On compressive sensing applied to radar
    • Ender J H G. On compressive sensing applied to radar. Signal Process, 2010, 90: 1402-1414.
    • (2010) Signal Process , vol.90 , pp. 1402-1414
    • Ender, J.H.G.1
  • 30
    • 84864324182 scopus 로고    scopus 로고
    • Studies on theory, system, and methodology of Sparse Microwave Imaging
    • Wu Y R. Studies on theory, system, and methodology of Sparse Microwave Imaging. Statement Tasks and Project Plan of 973 Program: 2009.
    • (2009) Statement Tasks and Project Plan of 973 Program
    • Wu, Y.R.1
  • 33
    • 0026895492 scopus 로고
    • A comparison of range-Doppler and wavenumber domain SAR focusing algorithms
    • Bamler R. A comparison of range-Doppler and wavenumber domain SAR focusing algorithms. IEEE Trans Geosci Remote Sens, 1992, 30: 706-713.
    • (1992) IEEE Trans Geosci Remote Sens , vol.30 , pp. 706-713
    • Bamler, R.1
  • 34
    • 0034298607 scopus 로고    scopus 로고
    • 2N) filtered backprojection reconstruction algorithm for tomography
    • 2N) filtered backprojection reconstruction algorithm for tomography. IEEE Trans Image Process, 2000, 9: 1760-1773.
    • (2000) IEEE Trans Image Process , vol.9 , pp. 1760-1773
    • Basu, S.1    Bresler, Y.2
  • 37
    • 84864302538 scopus 로고    scopus 로고
    • Side-Looking Synthetic Aperture Radar System
    • 487
    • Suess M. Side-Looking Synthetic Aperture Radar System. European Patent 1, 241, 487. 2006.
    • (2006) European Patent , vol.1 , pp. 241
    • Suess, M.1
  • 40
    • 0027842081 scopus 로고
    • Matching pursuits with time-frequency dictionaries
    • Mallat S G, Zhang Z. Matching pursuits with time-frequency dictionaries. IEEE Trans Signal Process, 1993, 41: 3397-3415.
    • (1993) IEEE Trans Signal Process , vol.41 , pp. 3397-3415
    • Mallat, S.G.1    Zhang, Z.2
  • 42
    • 29144439194 scopus 로고    scopus 로고
    • Decoding by linear programming
    • Candès E J, Tao T. Decoding by linear programming. IEEE Trans Inf Theory, 2005, 51: 4203-4215.
    • (2005) IEEE Trans Inf Theory , vol.51 , pp. 4203-4215
    • Candès, E.J.1    Tao, T.2
  • 43
    • 34548275795 scopus 로고    scopus 로고
    • The Dantzig selector: Statistical estimation when p is much larger than n
    • Candès E, Tao T. The Dantzig selector: Statistical estimation when p is much larger than n. The Annal Stat, 2007, 35: 2313-2351.
    • (2007) The Annal Stat , vol.35 , pp. 2313-2351
    • Candès, E.1    Tao, T.2
  • 44
    • 31744440684 scopus 로고    scopus 로고
    • Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information
    • Candès E J, Romberg J, Tao T. Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information. IEEE Trans Inf Theory, 2006, 52: 489-509.
    • (2006) IEEE Trans Inf Theory , vol.52 , pp. 489-509
    • Candès, E.J.1    Romberg, J.2    Tao, T.3
  • 45
    • 34249687049 scopus 로고    scopus 로고
    • Sparsity and incoherence in compressive sampling
    • Candès E, Romberg J. Sparsity and incoherence in compressive sampling. Inverse Problem, 2007, 23: 969-985.
    • (2007) Inverse Problem , vol.23 , pp. 969-985
    • Candès, E.1    Romberg, J.2
  • 46
    • 30844433547 scopus 로고    scopus 로고
    • Extensions of compressed sensing
    • Tsaig Y, Donoho D L. Extensions of compressed sensing. Signal Process, 2006, 86: 549-571.
    • (2006) Signal Process , vol.86 , pp. 549-571
    • Tsaig, Y.1    Donoho, D.L.2
  • 47
    • 79951478824 scopus 로고    scopus 로고
    • More is less: Signal processing and the data deluge
    • Baraniuk R G. More is less: Signal processing and the data deluge. Science, 2011, 331: 717-719.
    • (2011) Science , vol.331 , pp. 717-719
    • Baraniuk, R.G.1
  • 53
    • 0031571549 scopus 로고    scopus 로고
    • 2(d): the analysis of the Analysis operator
    • 2(d): the analysis of the Analysis operator. J Function Analys, 1997, 148: 408-447.
    • (1997) J Function Analys , vol.148 , pp. 408-447
    • Ron, A.1    Shen, Z.2
  • 55
    • 0003410734 scopus 로고    scopus 로고
    • Curvelets: A Surprisingly Effective Nonadaptive Representation for Objects with Edges
    • Candès E J. Curvelets: A Surprisingly Effective Nonadaptive Representation for Objects with Edges. Technical Report. DTIC Document, 2000. www. curvelet. org/papers/Curve99. pdf.
    • (2000) Technical Report. DTIC Document
    • Candès, E.1
  • 56
    • 0029938380 scopus 로고    scopus 로고
    • Emergence of simple-cell receptive field properties by learning a sparse code for natural images
    • Olshausen B A, Field D J. Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature, 1996, 381: 607-609.
    • (1996) Nature , vol.381 , pp. 607-609
    • Olshausen, B.A.1    Field, D.J.2
  • 58
    • 84858986544 scopus 로고    scopus 로고
    • An evaluation method for sparse microwave imaging radar system using phase diagrams
    • Tian Y, Jiang C L, Lin Y G, et al. An evaluation method for sparse microwave imaging radar system using phase diagrams. In: Proc of CIE Radar Conference, Chengdu, 2011.
    • (2011) Proc of CIE Radar Conference, Chengdu
    • Tian, Y.1    Jiang, C.L.2    Lin, Y.G.3
  • 66
    • 73849099747 scopus 로고    scopus 로고
    • dARPA/MTO Broad Agency Announcement (BAA) #05-35
    • Healy D. Analog-to-Information (A-to-I). 2005. http://www. darpa. mil/mto/solicitations/baa05-35/s/index. html. dARPA/MTO Broad Agency Announcement (BAA) #05-35.
    • (2005) Analog-to-Information (A-to-I)
    • Healy, D.1
  • 67
    • 85032760460 scopus 로고    scopus 로고
    • Compression at the physical interface
    • Healy D, Brady D J. Compression at the physical interface. IEEE Signal Process Mag, 2008, 25: 67-71.
    • (2008) IEEE Signal Process Mag , vol.25 , pp. 67-71
    • Healy, D.1    Brady, D.J.2
  • 69
    • 84864322995 scopus 로고    scopus 로고
    • Compressed Sensing of Analog Signals
    • Eldar Y C. Compressed Sensing of Analog Signals. Comput Res Reposit, 2008.
    • (2008) Comput Res Reposit
    • Eldar, Y.C.1
  • 71
    • 77949662812 scopus 로고    scopus 로고
    • From theory to practice: Sub-Nyquist sampling of sparse wideband analog signals
    • Mishali M, Eldar Y C. From theory to practice: Sub-Nyquist sampling of sparse wideband analog signals. IEEE J Sel Top Signal Process, 2010, 4: 375-391.
    • (2010) IEEE J Sel Top Signal Process , vol.4 , pp. 375-391
    • Mishali, M.1    Eldar, Y.C.2
  • 72
    • 78651481966 scopus 로고    scopus 로고
    • Xampling: Analog to digital at sub-Nyquist rates
    • Mishali M, Eldar Y, Dounaevsky O, et al. Xampling: Analog to digital at sub-Nyquist rates. IET Circ Dev Syst, 2011, 5: 8-20.
    • (2011) IET Circ Dev Syst , vol.5 , pp. 8-20
    • Mishali, M.1    Eldar, Y.2    Dounaevsky, O.3
  • 74
    • 73849142717 scopus 로고    scopus 로고
    • Beyond Nyquist: Efficient sampling of sparse bandlimited signals
    • Tropp J A, Laska J N, Duarte M F, et al. Beyond Nyquist: Efficient sampling of sparse bandlimited signals. IEEE Trans Inf Theory, 2010, 56: 520-544.
    • (2010) IEEE Trans Inf Theory , vol.56 , pp. 520-544
    • Tropp, J.A.1    Laska, J.N.2    Duarte, M.F.3
  • 75
    • 84938002878 scopus 로고
    • On the problem of time jitter in sampling
    • Balakrishnan A. On the problem of time jitter in sampling. IRE Trans Inform Theory, 1962, 8: 226-236.
    • (1962) IRE Trans Inform Theory , vol.8 , pp. 226-236
    • Balakrishnan, A.1
  • 76
    • 84864302533 scopus 로고    scopus 로고
    • A novel spaceborne SAR wide-swath imaging approach based on Poisson disk-like nonuniform sampling and compressive sensing
    • Sun J P, Zhang Y X, Chen Z B, et al. A novel spaceborne SAR wide-swath imaging approach based on Poisson disk-like nonuniform sampling and compressive sensing. Sci China Inf Sci, 2012, 55: 1876-1887.
    • (2012) Sci China Inf Sci , vol.55 , pp. 1876-1887
    • Sun, J.P.1    Zhang, Y.X.2    Chen, Z.B.3
  • 77
    • 85032750937 scopus 로고    scopus 로고
    • An introduction to compressive sampling
    • Candès E J, Wakin M B. An introduction to compressive sampling. IEEE Signal Process Mag, 2008, 25, 2: 21-30.
    • (2008) IEEE Signal Process Mag , vol.252 , pp. 21-30
    • Candès, E.J.1    Wakin, M.B.2
  • 78
    • 48349112071 scopus 로고
    • Spotlight Synthetic Aperture Radar-Signal Processing Algorithms
    • Carrara W G, Goodman R S, Majewski R M. Spotlight Synthetic Aperture Radar-Signal Processing Algorithms. Norwood, 1995.
    • (1995) Norwood
    • Carrara, W.G.1    Goodman, R.S.2    Majewski, R.M.3
  • 79
    • 0030374650 scopus 로고    scopus 로고
    • High resolution processing of hybrid strip-map/spotlight mode SAR
    • Belcher D P, Baker C J. High resolution processing of hybrid strip-map/spotlight mode SAR. IEE Proc Radar Sonar Nav, 1996, 143: 366-374.
    • (1996) IEE Proc Radar Sonar Nav , vol.143 , pp. 366-374
    • Belcher, D.P.1    Baker, C.J.2
  • 81
    • 33748299046 scopus 로고    scopus 로고
    • TOPSAR: Terrain observation by progressive scans
    • De Zan F, Guarnieri A M. TOPSAR: Terrain observation by progressive scans. IEEE Trans Geosci Remote Sens, 2006, 44: 2352-2360.
    • (2006) IEEE Trans Geosci Remote Sens , vol.44 , pp. 2352-2360
    • de Zan, F.1    Guarnieri, A.M.2
  • 82
    • 77952743135 scopus 로고    scopus 로고
    • Computational methods for sparse solution of linear inverse problems
    • Tropp J A, Wright S J. Computational methods for sparse solution of linear inverse problems. Proc IEEE, 2010, 98: 948-958.
    • (2010) Proc IEEE , vol.98 , pp. 948-958
    • Tropp, J.A.1    Wright, S.J.2
  • 83
    • 39449109476 scopus 로고    scopus 로고
    • An interior-point method for large-scale l1-regularized least squares
    • Kim S J, Koh K, Lustig M, et al. An interior-point method for large-scale l1-regularized least squares. IEEE J Sel Top Signal Process, 2007, 1: 606-617.
    • (2007) IEEE J Sel Top Signal Process , vol.1 , pp. 606-617
    • Kim, S.J.1    Koh, K.2    Lustig, M.3
  • 85
    • 39449126969 scopus 로고    scopus 로고
    • Gradient projection for sparse reconstruction: Application to compressed sensing and other inverse problems
    • Figueiredo M A T, Nowak R D, Wright S J. Gradient projection for sparse reconstruction: Application to compressed sensing and other inverse problems. IEEE J Sel Top Signal Process, 2007, 1: 586-597.
    • (2007) IEEE J Sel Top Signal Process , vol.1 , pp. 586-597
    • Figueiredo, M.A.T.1    Nowak, R.D.2    Wright, S.J.3
  • 86
    • 65649137930 scopus 로고    scopus 로고
    • Probing the Pareto frontier for basis pursuit solutions
    • van Den Berg E, Friedlander M. Probing the Pareto frontier for basis pursuit solutions. SIAM J Sci Comput, 2008, 31: 890-912.
    • (2008) SIAM J Sci Comput , vol.31 , pp. 890-912
    • van den Berg, E.1    Friedlander, M.2
  • 87
    • 7044231546 scopus 로고    scopus 로고
    • An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
    • Daubechies I, Defrise M, De Mol C. An iterative thresholding algorithm for linear inverse problems with a sparsity constraint. Commun Pure Appl Math, 2004, 57: 1413-1457.
    • (2004) Commun Pure Appl Math , vol.57 , pp. 1413-1457
    • Daubechies, I.1    Defrise, M.2    de Mol, C.3
  • 89
    • 85014561619 scopus 로고    scopus 로고
    • A fast iterative shrinkage-thresholding algorithm for linear inverse problems
    • Beck A, Teboulle M. A fast iterative shrinkage-thresholding algorithm for linear inverse problems. SIAM J Imag Sci, 2009, 2: 183-202.
    • (2009) SIAM J Imag Sci , vol.2 , pp. 183-202
    • Beck, A.1    Teboulle, M.2
  • 90
    • 84977895355 scopus 로고    scopus 로고
    • Bregman iterative algorithms for L1-minimization with applications to compressed sensing
    • Yin W, Osher S, Goldfarb D, et al. Bregman iterative algorithms for L1-minimization with applications to compressed sensing. SIAM J Imag Sci, 2008, 1: 143-168.
    • (2008) SIAM J Imag Sci , vol.1 , pp. 143-168
    • Yin, W.1    Osher, S.2    Goldfarb, D.3
  • 91
    • 69649095451 scopus 로고    scopus 로고
    • Fixed-point continuation for L1 minimization: methodology and convergence
    • Hale E T, Yin W, Zhang Y. Fixed-point continuation for L1 minimization: methodology and convergence. SIAM J Optim, 2008: 1107-1130.
    • (2008) SIAM J Optim , pp. 1107-1130
    • Hale, E.T.1    Yin, W.2    Zhang, Y.3
  • 92
    • 77950363235 scopus 로고    scopus 로고
    • Fixed-point continuation applied to compressed sensing: implementation and numerical experiments
    • Hale E T, Yin W, Zhang Y. Fixed-point continuation applied to compressed sensing: implementation and numerical experiments. J Comput Math, 2010, 28: 170-194.
    • (2010) J Comput Math , vol.28 , pp. 170-194
    • Hale, E.T.1    Yin, W.2    Zhang, Y.3
  • 94
    • 84856004485 scopus 로고    scopus 로고
    • Templates for convex cone problems with applications to sparse signal recovery
    • Becker S R, Candès E J, Grant M C. Templates for convex cone problems with applications to sparse signal recovery. Math Program Comput, 2011, 3: 165-218.
    • (2011) Math Program Comput , vol.3 , pp. 165-218
    • Becker, S.R.1    Candès, E.J.2    Grant, M.C.3
  • 98
    • 64649083745 scopus 로고    scopus 로고
    • Signal recovery from random measurements via orthogonal matching pursuit
    • Tropp J A, Gilbert A C. Signal recovery from random measurements via orthogonal matching pursuit. IEEE Trans Inf Theory, 2007, 53: 4655-4666.
    • (2007) IEEE Trans Inf Theory , vol.53 , pp. 4655-4666
    • Tropp, J.A.1    Gilbert, A.C.2
  • 101
    • 65749110333 scopus 로고    scopus 로고
    • Subspace pursuit for compressive sensing signal reconstruction
    • Dai W, Milenkovic O. Subspace pursuit for compressive sensing signal reconstruction. IEEE Trans Inf Theory, 2009, 55: 2230-2249.
    • (2009) IEEE Trans Inf Theory , vol.55 , pp. 2230-2249
    • Dai, W.1    Milenkovic, O.2
  • 102
    • 77949732443 scopus 로고    scopus 로고
    • Signal recovery from incomplete and inaccurate measurements via regularized orthogonal matching pursuit
    • Needell D, Vershynin R. Signal recovery from incomplete and inaccurate measurements via regularized orthogonal matching pursuit. IEEE J Sel Top Signal Process, 2010, 4: 310-316.
    • (2010) IEEE J Sel Top Signal Process , vol.4 , pp. 310-316
    • Needell, D.1    Vershynin, R.2
  • 103
    • 62749175137 scopus 로고    scopus 로고
    • CoSaMP: Iterative signal recovery from incomplete and inaccurate samples
    • Needell D, Tropp J A. CoSaMP: Iterative signal recovery from incomplete and inaccurate samples. Appl Comput Harmon Analys, 2009, 26: 301-321.
    • (2009) Appl Comput Harmon Analys , vol.26 , pp. 301-321
    • Needell, D.1    Tropp, J.A.2
  • 104
    • 69949164527 scopus 로고    scopus 로고
    • Iterative hard thresholding for compressed sensing
    • Blumensath T, Davies M E. Iterative hard thresholding for compressed sensing. Appl Comput Harmon Analys, 2009, 27: 265-274.
    • (2009) Appl Comput Harmon Analys , vol.27 , pp. 265-274
    • Blumensath, T.1    Davies, M.E.2
  • 105
    • 34548724437 scopus 로고    scopus 로고
    • Exact reconstruction of sparse signals via nonconvex minimization
    • Chartrand R. Exact reconstruction of sparse signals via nonconvex minimization. IEEE Signal Process Lett, 2007, 14: 707-710.
    • (2007) IEEE Signal Process Lett , vol.14 , pp. 707-710
    • Chartrand, R.1
  • 106
    • 0032712352 scopus 로고    scopus 로고
    • An affine scaling methodology for best basis selection
    • Rao B D, Kreutz-Delgado K. An affine scaling methodology for best basis selection. IEEE Trans Signal Process, 1999, 47: 187-200.
    • (1999) IEEE Trans Signal Process , vol.47 , pp. 187-200
    • Rao, B.D.1    Kreutz-Delgado, K.2
  • 108
    • 77949704355 scopus 로고    scopus 로고
    • Iteratively reweighted least squares minimization for sparse recovery
    • Daubechies I, DeVore R, Fornasier M, et al. Iteratively reweighted least squares minimization for sparse recovery. Commun Pure Appl Math, 2010, 63: 1-38.
    • (2010) Commun Pure Appl Math , vol.63 , pp. 1-38
    • Daubechies, I.1    Devore, R.2    Fornasier, M.3
  • 111
    • 3543103176 scopus 로고    scopus 로고
    • Sparse Bayesian learning for basis selection
    • Wipf D P, Rao B D. Sparse Bayesian learning for basis selection. IEEE Trans Signal Process, 2004, 52: 2153-2164.
    • (2004) IEEE Trans Signal Process , vol.52 , pp. 2153-2164
    • Wipf, D.P.1    Rao, B.D.2
  • 115
    • 44949163705 scopus 로고    scopus 로고
    • Compressed sensing technique for high-resolution radar imaging
    • 6968
    • Yoon Y S, Amin M G. Compressed sensing technique for high-resolution radar imaging. In: Proc SPIE, 2008. 6968.
    • (2008) Proc SPIE
    • Yoon, Y.S.1    Amin, M.G.2
  • 116
    • 69749087580 scopus 로고    scopus 로고
    • Compressed sensing of monostatic and multistatic SAR
    • 7337
    • Stojanovic I, Karl W C, Çetin M. Compressed sensing of monostatic and multistatic SAR. In: Proc SPIE, 2009. 7337.
    • (2009) Proc SPIE
    • Stojanovic, I.1    Karl, W.C.2    Çetin, M.3
  • 117
    • 78650076713 scopus 로고    scopus 로고
    • UWB through-wall imaging based on compressive sensing
    • Huang Q, Qu L, Wu B, et al. UWB through-wall imaging based on compressive sensing. IEEE Trans Geosci Remote Sens, 2010, 48: 1408-1415.
    • (2010) IEEE Trans Geosci Remote Sens , vol.48 , pp. 1408-1415
    • Huang, Q.1    Qu, L.2    Wu, B.3
  • 119
    • 69749095209 scopus 로고    scopus 로고
    • Sparse Multipass 3D SAR imaging: applications to the GOTCHA data set
    • 7337
    • Austin C D, Ertin E, Moses R L. Sparse Multipass 3D SAR imaging: applications to the GOTCHA data set. In: Proc SPIE, 2009. 7337.
    • (2009) Proc SPIE
    • Austin, C.D.1    Ertin, E.2    Moses, R.L.3
  • 120
    • 77957006361 scopus 로고    scopus 로고
    • Resolution enhancement for inversed synthetic aperture radar imaging under low SNR via improved compressive sensing
    • Zhang L, Xing M, Qiu C W, et al. Resolution enhancement for inversed synthetic aperture radar imaging under low SNR via improved compressive sensing. IEEE Trans Geosci Remote Sens, 2010. 48, 10: 3824-3838.
    • (2010) IEEE Trans Geosci Remote Sens , vol.48 , Issue.10 , pp. 3824-3838
    • Zhang, L.1    Xing, M.2    Qiu, C.W.3
  • 121
    • 77957282377 scopus 로고    scopus 로고
    • High-resolution imaging of moving train by ground-based radar with compressive sensing
    • Xie X C, Zhang Y H. High-resolution imaging of moving train by ground-based radar with compressive sensing. Electron Lett, 2010, 46: 529-531.
    • (2010) Electron Lett , vol.46 , pp. 529-531
    • Xie, X.C.1    Zhang, Y.H.2
  • 127
    • 77957294832 scopus 로고    scopus 로고
    • Compressed sensing MRI with multichannel data using multicore processors
    • Chang C H, Ji J. Compressed sensing MRI with multichannel data using multicore processors. Magn Reson Med, 2010, 64: 1135-1139.
    • (2010) Magn Reson Med , vol.64 , pp. 1135-1139
    • Chang, C.H.1    Ji, J.2
  • 128
    • 5444237123 scopus 로고    scopus 로고
    • Greed is good: Algorithmic results for sparse approximation
    • Tropp J A. Greed is good: Algorithmic results for sparse approximation. IEEE Trans Inf Theory, 2004, 50: 2231-2242.
    • (2004) IEEE Trans Inf Theory , vol.50 , pp. 2231-2242
    • Tropp, J.A.1
  • 129
    • 77956742050 scopus 로고    scopus 로고
    • Coherence-based performance guarantees for estimating a sparse vector under random noise
    • Ben-Haim Z, Eldar Y C, Elad M. Coherence-based performance guarantees for estimating a sparse vector under random noise. IEEE Trans Signal Process, 2010, 58: 5030-5043.
    • (2010) IEEE Trans Signal Process , vol.58 , pp. 5030-5043
    • Ben-Haim, Z.1    Eldar, Y.C.2    Elad, M.3
  • 133
    • 73149095252 scopus 로고    scopus 로고
    • Observed universality of phase transitions in high-dimensional geometry, with implications for modern data analysis and signal processing
    • Donoho D, Tanner J. Observed universality of phase transitions in high-dimensional geometry, with implications for modern data analysis and signal processing. Philosoph Trans Royal Soc A Math Phys Engin Sci, 2009, 367: 4273-4293.
    • (2009) Philosoph Trans Royal Soc A Math Phys Engin Sci , vol.367 , pp. 4273-4293
    • Donoho, D.1    Tanner, J.2
  • 134
    • 73349141108 scopus 로고    scopus 로고
    • Feature selection by higher criticism thresholding achieves the optimal phase diagram
    • Donoho D, Jin J. Feature selection by higher criticism thresholding achieves the optimal phase diagram. Philosoph Trans Royal Soc A Math Phys Engin Sci, 2009, 367: 4449-4470.
    • (2009) Philosoph Trans Royal Soc A Math Phys Engin Sci , vol.367 , pp. 4449-4470
    • Donoho, D.1    Jin, J.2
  • 135
    • 84855447462 scopus 로고    scopus 로고
    • Super-resolution power and robustness of compressive sensing for spectral estimation with application to spaceborne tomographic SAR
    • Zhu X X, Bamler R. Super-resolution power and robustness of compressive sensing for spectral estimation with application to spaceborne tomographic SAR. IEEE Trans Geosci Remote Sens, 2012, 50: 247-258.
    • (2012) IEEE Trans Geosci Remote Sens , vol.50 , pp. 247-258
    • Zhu, X.X.1    Bamler, R.2
  • 136
    • 66849132093 scopus 로고    scopus 로고
    • High-resolution radar via compressed sensing
    • Herman M A, Strohmer T. High-resolution radar via compressed sensing. IEEE Trans Signal Process, 2009, 57: 2275-2284.
    • (2009) IEEE Trans Signal Process , vol.57 , pp. 2275-2284
    • Herman, M.A.1    Strohmer, T.2
  • 138
    • 84864306172 scopus 로고    scopus 로고
    • Experimental results and analysis of Sparse Microwave Imaging from spaceborne radar raw data
    • Jiang C L, Zhang B C, Zhang Z, et al. Experimental results and analysis of Sparse Microwave Imaging from spaceborne radar raw data. Sci China Inf Sci, 2012, 55: 1801-1815.
    • (2012) Sci China Inf Sci , vol.55 , pp. 1801-1815
    • Jiang, C.L.1    Zhang, B.C.2    Zhang, Z.3
  • 140
    • 84863067975 scopus 로고    scopus 로고
    • Multi-channel SAR imaging based on distributed compressive sensing
    • Lin Y G, Zhang B C, Jiang H, et al. Multi-channel SAR imaging based on distributed compressive sensing. Sci China Inf Sci, 2012, 55: 245-259.
    • (2012) Sci China Inf Sci , vol.55 , pp. 245-259
    • Lin, Y.G.1    Zhang, B.C.2    Jiang, H.3
  • 141
    • 77953565631 scopus 로고    scopus 로고
    • Along-track interferometric SAR imaging based on distributed compressed sensing
    • Lin Y G, Zhang B C, Hong W, et al. Along-track interferometric SAR imaging based on distributed compressed sensing. Electron Lett, 2010, 46: 85-860.
    • (2010) Electron Lett , vol.46 , pp. 85-860
    • Lin, Y.G.1    Zhang, B.C.2    Hong, W.3
  • 143
    • 0020811851 scopus 로고
    • Prospects for three-dimensional projective and tomographic imaging radar networks
    • Farhat N H, Werner C L, Chu T H. Prospects for three-dimensional projective and tomographic imaging radar networks. Radio Sci, 1984, 19: 1347-1355.
    • (1984) Radio Sci , vol.19 , pp. 1347-1355
    • Farhat, N.H.1    Werner, C.L.2    Chu, T.H.3
  • 144
    • 0029775453 scopus 로고    scopus 로고
    • Three-dimensional SAR imaging using linear array in transverse motion
    • Mahafza B R, Sajjadi M. Three-dimensional SAR imaging using linear array in transverse motion. IEEE Trans Aerosp Electron Syst, 1996, 32: 499-510.
    • (1996) IEEE Trans Aerosp Electron Syst , vol.32 , pp. 499-510
    • Mahafza, B.R.1    Sajjadi, M.2
  • 145
    • 0034269409 scopus 로고    scopus 로고
    • First demonstration of airborne SAR tomography using multibaseline L-band data
    • Reigber A, Moreira A. First demonstration of airborne SAR tomography using multibaseline L-band data. IEEE Trans Geosci Remote Sens, 2000, 38: 2142-2152.
    • (2000) IEEE Trans Geosci Remote Sens , vol.38 , pp. 2142-2152
    • Reigber, A.1    Moreira, A.2
  • 146
    • 77957000217 scopus 로고    scopus 로고
    • Tomographic SAR inversion by L1-norm regularization - the compressive sensing approach
    • Zhu X X, Bamler R. Tomographic SAR inversion by L1-norm regularization - the compressive sensing approach. IEEE Trans Geosci Remote Sens, 2010, 48: 3839-3846.
    • (2010) IEEE Trans Geosci Remote Sens , vol.48 , pp. 3839-3846
    • Zhu, X.X.1    Bamler, R.2
  • 148
    • 78650873827 scopus 로고    scopus 로고
    • Three-dimensional SAR focusing from multipass signals using compressive sampling
    • Budillon A, Evangelista A, Schirinzi G. Three-dimensional SAR focusing from multipass signals using compressive sampling. IEEE Trans Geosci Remote Sens, 2011, 49: 488-499.
    • (2011) IEEE Trans Geosci Remote Sens , vol.49 , pp. 488-499
    • Budillon, A.1    Evangelista, A.2    Schirinzi, G.3
  • 152
    • 84864289137 scopus 로고    scopus 로고
    • Demonstration of Super-Resolution for Tomographic SAR Imaging in Urban Environment
    • in press
    • Zhu X X, Bamler R. Demonstration of Super-Resolution for Tomographic SAR Imaging in Urban Environment. IEEE Trans Geosci Remote Sens, 2012, in press.
    • (2012) IEEE Trans Geosci Remote Sens
    • Zhu, X.X.1    Bamler, R.2
  • 156
    • 67651158800 scopus 로고    scopus 로고
    • Achieving higher resolution ISAR imaging with limited pulses via compressed sampling
    • Zhang L, Xing M, Qiu C W, et al. Achieving higher resolution ISAR imaging with limited pulses via compressed sampling. IEEE Geosci Remote Sens Lett, 2009, 6: 567-71.
    • (2009) IEEE Geosci Remote Sens Lett , vol.6 , pp. 567-571
    • Zhang, L.1    Xing, M.2    Qiu, C.W.3
  • 157
    • 79955521776 scopus 로고    scopus 로고
    • ISAR imaging via sparse probing frequencies
    • Wang H, Quan Y, Xing M, et al. ISAR imaging via sparse probing frequencies. IEEE Geosci Remote Sens Lett, 2011, 8: 451-455.
    • (2011) IEEE Geosci Remote Sens Lett , vol.8 , pp. 451-455
    • Wang, H.1    Quan, Y.2    Xing, M.3
  • 158
    • 80455155136 scopus 로고    scopus 로고
    • High-resolution ISAR imaging with sparse stepped-frequency waveforms
    • Zhang L, Qiao Z, Xing M, et al. High-resolution ISAR imaging with sparse stepped-frequency waveforms. IEEE Trans Geosci Remote Sens, 2011, 49: 4630-4651.
    • (2011) IEEE Trans Geosci Remote Sens , vol.49 , pp. 4630-4651
    • Zhang, L.1    Qiao, Z.2    Xing, M.3
  • 159
    • 84863060583 scopus 로고    scopus 로고
    • High resolution ISAR imaging by exploiting sparse apertures
    • Lei Z, Qiao Z, Xing M, et al. High resolution ISAR imaging by exploiting sparse apertures. IEEE Trans Anten Propag, 2011, 60: 997-1008.
    • (2011) IEEE Trans Anten Propag , vol.60 , pp. 997-1008
    • Lei, Z.1    Qiao, Z.2    Xing, M.3
  • 161
    • 80051768936 scopus 로고    scopus 로고
    • Reconstruction of moving target's HRRP using sparse frequency-stepped chirp signal
    • Zhu F, Zhang Q, Lei Q, et al. Reconstruction of moving target's HRRP using sparse frequency-stepped chirp signal. IEEE Sensors J, 2011, 11: 2327-2334.
    • (2011) IEEE Sensors J , vol.11 , pp. 2327-2334
    • Zhu, F.1    Zhang, Q.2    Lei, Q.3
  • 162
    • 80053057312 scopus 로고    scopus 로고
    • ISAR enhancement technology based on compressed sensing
    • Ye F, Liang D, Zhu J. ISAR enhancement technology based on compressed sensing. Electron Lett, 2011, 47: 620-621.
    • (2011) Electron Lett , vol.47 , pp. 620-621
    • Ye, F.1    Liang, D.2    Zhu, J.3
  • 164
    • 0030215083 scopus 로고    scopus 로고
    • Surface-penetrating radar
    • Daniels D J. Surface-penetrating radar. Electron Commun Engin J, 1996, 8: 165-182.
    • (1996) Electron Commun Engin J , vol.8 , pp. 165-182
    • Daniels, D.J.1
  • 165
    • 12844258778 scopus 로고    scopus 로고
    • Herts: The Institution of Engineering and Technology
    • Daniels D J. Ground Penetrating Radar. Herts: The Institution of Engineering and Technology, 2004.
    • (2004) Ground Penetrating Radar
    • Daniels, D.J.1
  • 166
    • 67349160257 scopus 로고    scopus 로고
    • Compressive sensing for subsurface imaging using ground penetrating radar
    • Gurbuz A C, McClellan J H, Scott W R. Compressive sensing for subsurface imaging using ground penetrating radar. Signal Process, 2009, 89: 1959-1972.
    • (2009) Signal Process , vol.89 , pp. 1959-1972
    • Gurbuz, A.C.1    McClellan, J.H.2    Scott, W.R.3
  • 167
    • 10844262630 scopus 로고    scopus 로고
    • Pre-stack migration applied to GPR for landmine detection
    • Feng X, Sato M. Pre-stack migration applied to GPR for landmine detection. Inverse Problem, 2004, 20: S99.
    • (2004) Inverse Problem , vol.20
    • Feng, X.1    Sato, M.2
  • 168
    • 0017934496 scopus 로고
    • Migration by Fourier transform
    • Stolt R H. Migration by Fourier transform. Geophysics, 1978, 43: 23-48.
    • (1978) Geophysics , vol.43 , pp. 23-48
    • Stolt, R.H.1
  • 172
    • 77958005544 scopus 로고    scopus 로고
    • Compressive stepped-frequency continuous-wave ground-penetrating radar
    • Suksmono A B, Bharata E, Lestari A A, et al. Compressive stepped-frequency continuous-wave ground-penetrating radar. IEEE Geosci Remote Sens Lett, 2010, 7: 665-669.
    • (2010) IEEE Geosci Remote Sens Lett , vol.7 , pp. 665-669
    • Suksmono, A.B.1    Bharata, E.2    Lestari, A.A.3
  • 173
    • 67650122749 scopus 로고    scopus 로고
    • A compressive sensing data acquisition and imaging method for stepped frequency GPRs
    • Gurbuz A C, McClellan J H, Scott W R. A compressive sensing data acquisition and imaging method for stepped frequency GPRs. IEEE Trans Signal Process, 2009, 57: 2640-2650.
    • (2009) IEEE Trans Signal Process , vol.57 , pp. 2640-2650
    • Gurbuz, A.C.1    McClellan, J.H.2    Scott, W.R.3
  • 174
    • 79960101971 scopus 로고    scopus 로고
    • A fast data acquisition and processing scheme for through-the-wall radar imaging
    • 8021
    • Soldovieri F, Solimene R, Ahmad F. A fast data acquisition and processing scheme for through-the-wall radar imaging. In: Proc SPIE, 2011. 8021.
    • (2011) Proc SPIE
    • Soldovieri, F.1    Solimene, R.2    Ahmad, F.3
  • 175
    • 33747331422 scopus 로고    scopus 로고
    • Joint image formation and anisotropy characterization in wide-angle SAR
    • Varshney K R, CII J W, et al. Joint image formation and anisotropy characterization in wide-angle SAR. In: Proc SPIE, 2006. 6237.
    • (2006) Proc SPIE , pp. 6237
    • Varshney, K.R.1    Cii, J.W.2
  • 177
    • 0030214281 scopus 로고    scopus 로고
    • Reconnaissance with slant plane circular SAR imaging
    • Soumekh M. Reconnaissance with slant plane circular SAR imaging. IEEE Trans Image Process, 1996, 5: 1252-1265.
    • (1996) IEEE Trans Image Process , vol.5 , pp. 1252-1265
    • Soumekh, M.1
  • 178
    • 77952745150 scopus 로고    scopus 로고
    • Sparsity and compressed sensing in radar imaging
    • Potter L C, Ertin E, Parker J T, et al. Sparsity and compressed sensing in radar imaging. Proc IEEE, 2010, 98: 1006-1020.
    • (2010) Proc IEEE , vol.98 , pp. 1006-1020
    • Potter, L.C.1    Ertin, E.2    Parker, J.T.3
  • 188
    • 80054065922 scopus 로고    scopus 로고
    • Measurement matrix design for compressive sensing based MIMO radar
    • Yu Y, Petropulu A, Poor H. Measurement matrix design for compressive sensing based MIMO radar. IEEE Trans Signal Process, 2011, 59: 5338-5352.
    • (2011) IEEE Trans Signal Process , vol.59 , pp. 5338-5352
    • Yu, Y.1    Petropulu, A.2    Poor, H.3
  • 189
    • 80054088232 scopus 로고    scopus 로고
    • Target estimation using sparse modeling for distributed MIMO radar
    • Gogineni S, Nehorai A. Target estimation using sparse modeling for distributed MIMO radar. IEEE Trans Signal Process, 2011, 59: 5315-5325.
    • (2011) IEEE Trans Signal Process , vol.59 , pp. 5315-5325
    • Gogineni, S.1    Nehorai, A.2
  • 190
    • 79951624794 scopus 로고    scopus 로고
    • Sparse learning via iterative minimization with application to MIMO radar imaging
    • Tan X, Roberts W, Li J, et al. Sparse learning via iterative minimization with application to MIMO radar imaging. IEEE Trans Signal Process, 2011, 59: 1088-1101.
    • (2011) IEEE Trans Signal Process , vol.59 , pp. 1088-1101
    • Tan, X.1    Roberts, W.2    Li, J.3
  • 194
    • 79960386256 scopus 로고    scopus 로고
    • Applications of compressed sensing for SAR moving-target velocity estimation and image compression
    • Khwaja A S, Ma J. Applications of compressed sensing for SAR moving-target velocity estimation and image compression. IEEE Trans Instrum Meas, 2011, 60: 2848-2860.
    • (2011) IEEE Trans Instrum Meas , vol.60 , pp. 2848-2860
    • Khwaja, A.S.1    Ma, J.2
  • 195
    • 76249129033 scopus 로고    scopus 로고
    • Imaging of moving targets with multi-static SAR using an overcomplete dictionary
    • Stojanovic I, Karl W C. Imaging of moving targets with multi-static SAR using an overcomplete dictionary. IEEE J Sel Top Signal Process, 2010, 4: 164-176.
    • (2010) IEEE J Sel Top Signal Process , vol.4 , pp. 164-176
    • Stojanovic, I.1    Karl, W.C.2
  • 196
    • 44949236226 scopus 로고    scopus 로고
    • Three-dimensional sparse-aperture moving-target imaging
    • 6970
    • Ferrara M, Jackson J, Stuff M. Three-dimensional sparse-aperture moving-target imaging. In: Proceedings of SPIE, 2008. 6970.
    • (2008) Proceedings of SPIE
    • Ferrara, M.1    Jackson, J.2    Stuff, M.3
  • 197
    • 0029369450 scopus 로고
    • A comparison of several algorithms for SAR raw data compression
    • Benz U, Strodl K, Moreira A. A comparison of several algorithms for SAR raw data compression. IEEE Trans Geosci Remote Sens, 1995, 33: 1266-1276.
    • (1995) IEEE Trans Geosci Remote Sens , vol.33 , pp. 1266-1276
    • Benz, U.1    Strodl, K.2    Moreira, A.3
  • 198
    • 0024703141 scopus 로고
    • Block adaptive quantization of Magellan SAR data
    • Kwok R, Johnson W. Block adaptive quantization of Magellan SAR data. IEEE Trans Geosci Remote Sens, 1989, 27: 375-383.
    • (1989) IEEE Trans Geosci Remote Sens , vol.27 , pp. 375-383
    • Kwok, R.1    Johnson, W.2
  • 202
    • 73849097267 scopus 로고    scopus 로고
    • Information-theoretic limits on sparsity recovery in the high-dimensional and noisy setting
    • Wainwright M J. Information-theoretic limits on sparsity recovery in the high-dimensional and noisy setting. IEEE Trans Inf Theory, 2009, 55: 5728-5741.
    • (2009) IEEE Trans Inf Theory , vol.55 , pp. 5728-5741
    • Wainwright, M.J.1
  • 203
    • 77956674627 scopus 로고    scopus 로고
    • Information theoretic bounds for compressed sensing
    • Aeron S, Saligrama V, Zhao M. Information theoretic bounds for compressed sensing. IEEE Trans Inf Theory, 2010, 56: 5111-5130.
    • (2010) IEEE Trans Inf Theory , vol.56 , pp. 5111-5130
    • Aeron, S.1    Saligrama, V.2    Zhao, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.