Adaptive subspace detection of range-distributed target in compound-Gaussian clutter

Digital Signal Processing: A Review Journal

Volumn 19, Issue 1, 2009, Pages 66-78

  Guan, Jian ^a   Zhang, Yanfei ^a   Huang, Yong ^a  

^a NAVAL AERONAUTICAL AND ASTRONAUTICAL UNIVERSITY   (China)

Author keywords

Constant false alarm rate (CFAR); Distributed target; Generalized likelihood ratio test (GLRT); High resolution radar; Spherically invariant random process; Subspace

Indexed keywords

CLUTTER (INFORMATION THEORY); ERRORS; GAUSSIAN NOISE (ELECTRONIC); INTELLIGENT SYSTEMS; MONTE CARLO METHODS; RADAR; RADAR MEASUREMENT; RANDOM PROCESSES; SIGNAL DETECTION; SPEECH RECOGNITION;

CONSTANT FALSE ALARM RATE; DISTRIBUTED TARGET; GENERALIZED LIKELIHOOD-RATIO TESTS; HIGH RESOLUTION RADAR; SPHERICALLY INVARIANT RANDOM PROCESS; SUBSPACE;

RADAR CLUTTER;

EID: 56549086833     PISSN: 10512004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.dsp.2007.12.005     Document Type: Article

References (32)

1. Wehner D.R. High Resolution Radar (1995), Artech House, Boston
2. Gerlach K., Steiner M.J., and Lin F.C. Detection of a spatially distributed target in white noise. IEEE Signal Process. Lett. 4 (1997) 198-200
3. Conte E., De Maio A., and Ricci G. GLRT-based detection algorithms for range-spread targets. IEEE Trans. Signal Process. 49 (2001) 1336-1348
4. Conte E., and Lops M. Clutter-map CFAR detection for range-spread targets in non-Gaussian clutter. Part I: System design. IEEE Trans. Aerospace Electron. Syst. 33 (1997) 432-443
5. Gerlach K., and Steiner M.J. Adaptive detection of range distributed targets. IEEE Trans. Signal Process. 47 (1999) 1844-1851
6. K. Gerlach, M.J. Steiner, A study of adaptive detection of range-distributed targets, Naval Research Laboratory, Technical report NRL/MR/5340-00-8438, March 2000
7. A. De Maio, Blind adaptive detection of distributed targets in compound-Gaussian clutter, in: Proceedings of IEEE Radar Conference, Huntsville, USA, May 2003, pp. 291-297
8. Gerlach K. Spatially distributed targets detection in non-Gaussian clutter. IEEE Trans. Aerospace Electron. Syst. 35 (1999) 926-934
9. Conte E., De Maio A., and Ricci G. CFAR detection of distributed targets in non-Gaussian disturbance. IEEE Trans. Aerospace Electron. Syst. 38 (2002) 612-621
10. Conte E., and De Maio A. Distributed target detection in compound-Gaussian noise with Rao and Wald tests. IEEE Trans. Aerospace Electron. Syst. 39 (2003) 568-582
11. Alfano G., De Maio A., and Farina A. Model-based adaptive detection of range-spread targets. IEE Proc. F Radar Sonar Navig. 151 1 (2004) 2-10
12. Kraut S., and Scharf L.L. The CFAR adaptive subspace detector is a scale-invariant GLRT. IEEE Trans. Signal Process. 47 (1999) 2538-2541
13. Kraut S., Scharf L.L., and McWhorter T. Adaptive subspace detectors. IEEE Trans. Signal Process. 49 (2001) 1-16
14. Gini F., and Farina A. Matched subspace CFAR detection of hovering helicopters. IEEE Trans. Aerospace Electron. Syst. 35 (1999) 1293-1305
15. Gini F., and Farina A. Vector subspace detection in compound-Gaussian clutter. Part I: Survey and new results. IEEE Trans. Aerospace Electron. Syst. 38 (2002) 1295-1311
16. G. Ricci, L.L. Scarf, Adaptive radar detection of extended Gaussian targets, OMB Tech. report No. 0704-0188, 2004
17. Jin Y., and Friedlander B. A CFAR adaptive subspace detector for second-order Gaussian signals. IEEE Trans. Signal Process. 53 (2005) 871-884
18. Bandiera F., De Maio A., Greco A.S., and Ricci G. Adaptive radar detection of distributed targets in homogeneous and partially homogeneous noise plus subspace interference. IEEE Trans. Signal Process. 55 (2007) 1223-1237
19. Van Trees H.L. Detection. Estimation and Modulation Theory, vol. III, Radar/Sonar Signal Processing and Gaussian Signals in Noise (1971), John Wiley, New York
20. Wax M., and Ziskind I. Detection of the number of coherent signals by MDL principle. IEEE Trans. Acoust. Speech Signal Process. 37 (1989) 1190-1196
21. Wax M. Detection and localization of multiple sources via the stochastic signal model. IEEE Trans. Signal Process. 39 (1991) 2450-2456
22. Ma C., and Ng B.P. A CFAR based model order selection criterion for complex sinusoids. Signal Process. 86 (2006) 2296-2303
23. Rangaswamy M., Weiner D., and Ozturk A. Non-Gaussian random vector identification using spherically invariant random processes. IEEE Trans. Aerospace Electron. Syst. 29 (1993) 111-124
24. Yao K. A representation theorem and its application to spherically invariant random processes. IEEE Trans. Inform. Theory 19 (1973) 600-608
25. Lombardo P., and Farina A. Coherent radar detection against k-distributed clutter with partially correlated texture. Signal Process. 48 (1996) 1-15
26. Robey F.C., Fuhrmann D.R., Nitzberg R., and Kelly E.J. A CFAR adaptive matched filter detector. IEEE Trans. Aerospace Electron. Syst. 28 (1992) 208-216
27. Scharf L.L. Statistical Signal Processing: Detection, Estimation, and Time Series Analysis (1991), Addison-Wesley, Reading, MA
28. Gini F., and Michels J.H. Performance analysis of two covariance matrix estimators in compound-Gaussian clutter. IEE Proc. F Radar Sonar Navig. 146 3 (1999) 133-140
29. Gini F., and Greco M. Covariance matrix estimation for CFAR detection in correlated heavy tailed clutter. Signal Process. 82 (2002) 1847-1859
30. Conte E., De Maio A., and Ricci G. Recursive estimation of the covariance matrix of a compound-Gaussian process and its application to adaptive CFAR detection. IEEE Trans. Signal Process. 50 (2002) 1908-1915
31. Rangaswamy M., Michels J.H., and Weiner D. Multichannel detection for correlated non-Gaussian random processes based on innovations. IEEE Trans. Signal Process. 43 (1995) 1915-1922
32. Gini F., Farina A., and Montanari M. Vector subspace detection in compound-Gaussian clutter. Part II: Performance analysis. IEEE Trans. Aerospace Electron. Syst. 38 (2002) 1312-1323