메뉴 건너뛰기




Volumn 59, Issue 9, 2011, Pages 4122-4138

Set-membership constrained particle filter: Distributed adaptation for sensor networks

Author keywords

Adaptation; distributed; particle filter; sensor network; set membership

Indexed keywords

ADAPTATION; ADAPTATION SCHEME; COMMUNICATION OVERHEADS; DISTRIBUTED; DISTRIBUTED IMPLEMENTATION; DISTRIBUTED SENSOR; FIXED NUMBERS; FUSION CENTER; HIGH GAIN; LOCAL MEASUREMENT; PARTICLE FILTER; PARTICLE FILTERING; RAW MEASUREMENTS; SET-MEMBERSHIP;

EID: 80051753257     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2011.2159599     Document Type: Article
Times cited : (89)

References (47)
  • 1
    • 51449086746 scopus 로고    scopus 로고
    • Distributed estimation for nonlinear stochastic signals over sensor networks
    • presented at the Las Vegas, NV, Apr
    • A. Ahmad and M. R. Gani, "Distributed estimation for nonlinear stochastic signals over sensor networks," presented at the Proc. Int. Conf. Acoust., Speech, Signal Process., Las Vegas, NV, Apr. 2008.
    • (2008) Proc. Int. Conf. Acoust., Speech, Signal Process.
    • Ahmad, A.1    Gani, M.R.2
  • 4
    • 21844442647 scopus 로고    scopus 로고
    • A complete system for head tracking using motion-based particle filter and randomly perturbed active contour
    • DOI 10.1117/12.587244, 97, Proceedings of SPIE-IS and T Electronic Imaging - Image and Video Communications and Processing 2005
    • N. Bouaynaya and D. Schonfeld, "Complete system with head tracking using motion-based particle filter and randomly perturbed active contour," in Proc. SPIE, 2005, vol. 5685, pp. 864-873. (Pubitemid 40952790)
    • (2005) Proceedings of SPIE - The International Society for Optical Engineering , vol.5685 , Issue.PART 2 , pp. 864-873
    • Bouaynaya, N.1    Schonfeld, D.2
  • 5
    • 33749056400 scopus 로고    scopus 로고
    • Estimating target state distributions in a distributed sensor network using a Monte Carlo approach
    • presented at the Sep
    • M. Borkar, V. Cevher, and J. H. McClellan, "Estimating target state distributions in a distributed sensor network using a Monte Carlo approach," presented at the Workshop Mach. Learn. Signal Process., Mystic, CT, Sep. 2005.
    • (2005) Workshop Mach. Learn. Signal Process., Mystic, CT
    • Borkar, M.1    Cevher, V.2    McClellan, J.H.3
  • 6
    • 44649107771 scopus 로고    scopus 로고
    • An overview of existing methods and recent advances in sequential Monte Carlo
    • May
    • O. Cappe, S. J. Godsil, and E. Moulines, "An overview of existing methods and recent advances in sequential Monte Carlo," Proc. IEEE, vol. 95, no. 5, pp. 899-924, May 2007.
    • (2007) Proc. IEEE , vol.95 , Issue.5 , pp. 899-924
    • Cappe, O.1    Godsil, S.J.2    Moulines, E.3
  • 7
    • 3042778356 scopus 로고    scopus 로고
    • Distributed particle filters for sensor networks
    • presented at the Berkeley, CA, Apr
    • M. Coates, "Distributed particle filters for sensor networks," presented at the Int. Conf. Inf. Process. Sensor Netw., Berkeley, CA, Apr. 2004.
    • (2004) Int. Conf. Inf. Process. Sensor Netw.
    • Coates, M.1
  • 8
    • 33748930431 scopus 로고    scopus 로고
    • Finite-time convergent gradient flows with applications to network consensus
    • DOI 10.1016/j.automatica.2006.06.015, PII S000510980600269X
    • J. Cortes, "Finite-time convergent gradient flows with applications to network consensus," Automatica, vol. 42, pp. 1993-2000, Nov. 2006. (Pubitemid 44436061)
    • (2006) Automatica , vol.42 , Issue.11 , pp. 1993-2000
    • Cortes, J.1
  • 9
    • 0036504051 scopus 로고    scopus 로고
    • A survey of convergence results on particle filtering methods for practitioners
    • DOI 10.1109/78.984773, PII S1053587X02013284
    • D. Crisan and A. Doucet, "A survey of convergence results on particle filtering methods for practitioners," IEEE Trans. Signal Process., vol. 50, no. 3, pp. 736-746, Mar. 2002. (Pubitemid 34295113)
    • (2002) IEEE Transactions on Signal Processing , vol.50 , Issue.3 , pp. 736-746
    • Crisan, D.1    Doucet, A.2
  • 10
    • 84879377202 scopus 로고    scopus 로고
    • Curse of dimensionality and particle filters
    • presented at the , Big Sky, MT, Mar
    • F. Daum and J. Huang, "Curse of dimensionality and particle filters," presented at the Aerosp. Conf., Big Sky, MT, Mar. 2003.
    • (2003) Aerosp. Conf.
    • Daum, F.1    Huang, J.2
  • 11
    • 80051741526 scopus 로고    scopus 로고
    • Nonlinear filters with generalized particle flow
    • presented at the, Big Sky, MT, Mar
    • F. Daum and J. Huang, "Nonlinear filters with generalized particle flow," presented at the Aerosp. Conf., Big Sky, MT, Mar. 2010.
    • (2010) Aerosp. Conf.
    • Daum, F.1    Huang, J.2
  • 12
    • 44949223387 scopus 로고    scopus 로고
    • Target tracking by particle filtering in binary sensor networks
    • DOI 10.1109/TSP.2007.916140
    • P. M. Djuric, M. Vemula, and M. F. Bugallo, "Target tracking by particle filtering in binary sensor networks," IEEE Trans. Signal Process., vol. 56, no. 6, pp. 2229-2238, Jun. 2008. (Pubitemid 351801717)
    • (2008) IEEE Transactions on Signal Processing , vol.56 , Issue.6 , pp. 2229-2238
    • Djuric, P.M.1    Vemula, M.2    Bugallo, M.F.3
  • 14
    • 0001460136 scopus 로고    scopus 로고
    • On sequential Monte Carlo sampling methods for Bayesian filtering
    • A. Doucet, S. Godsill, and C. Andrieu, "On sequential Monte Carlo sampling methods for Bayesian filtering," J. Statist. Comput., vol. 10, no. 3, pp. 197-208, 2000.
    • (2000) J. Statist. Comput. , vol.10 , Issue.3 , pp. 197-208
    • Doucet, A.1    Godsill, S.2    Andrieu, C.3
  • 15
    • 77951131231 scopus 로고    scopus 로고
    • A tutorial on particle filtering and smoothing: Fifteen years later
    • D. Crisan and B. Rozovsky, Eds. London, U.K.: Oxford Univ. Press
    • A. Doucet and A. M. Johansen, "A tutorial on particle filtering and smoothing: Fifteen years later," in Oxford Handbook of Nonlinear Filtering, D. Crisan and B. Rozovsky, Eds. London, U.K.: Oxford Univ. Press, 2010.
    • (2010) Oxford Handbook of Nonlinear Filtering
    • Doucet, A.1    Johansen, A.M.2
  • 16
    • 0041709146 scopus 로고
    • Chaining via annealing
    • M. Evans, "Chaining via annealing," Ann. Statist., vol. 19, no. 1, pp. 382-393, 1991.
    • (1991) Ann. Statist. , vol.19 , Issue.1 , pp. 382-393
    • Evans, M.1
  • 18
    • 0003251724 scopus 로고    scopus 로고
    • Particle filters for mobile robot localization
    • A. Doucet, N. de Freitas, and N. Gordon, Eds. New York: Springer
    • D. Fox, S. Thrun, W. Burgard, and F. Dellaert, "Particle filters for mobile robot localization," in Sequential Monte Carlo Methods in Practice, A. Doucet, N. de Freitas, and N. Gordon, Eds. New York: Springer, 2001, pp. 405-428.
    • (2001) Sequential Monte Carlo Methods in Practice , pp. 405-428
    • Fox, D.1    Thrun, S.2    Burgard, W.3    Dellaert, F.4
  • 19
    • 70449629960 scopus 로고    scopus 로고
    • A new distributed particle filtering for WSN target tracking
    • presented at the, Singapore, May
    • W. Gao, H. Zhao, C. Song, and J. Xu, "A new distributed particle filtering for WSN target tracking," presented at the Int. Conf. Signal Process. Syst., Singapore, May 2009.
    • (2009) Int. Conf. Signal Process. Syst.
    • Gao, W.1    Zhao, H.2    Song, C.3    Xu, J.4
  • 20
    • 0001667705 scopus 로고
    • Bayesian inference in econometric models using Monte Carlo integration
    • Nov
    • J. Geweke, "Bayesian inference in econometric models using Monte Carlo integration," Econometrica, vol. 57, no. 6, pp. 1317-1339, Nov. 1989.
    • (1989) Econometrica , vol.57 , Issue.6 , pp. 1317-1339
    • Geweke, J.1
  • 21
    • 0008782869 scopus 로고    scopus 로고
    • Improvement strategies for Monte Carlo particle filters
    • A. Doucet, N. de Freitas, and N. Gordon, Eds. New York: Springer
    • S. Godsill and T. Clapp, "Improvement strategies for Monte Carlo particle filters," in Sequential Monte Carlo Methods in Practice, A. Doucet, N. de Freitas, and N. Gordon, Eds. New York: Springer, 2001, pp. 139-158.
    • (2001) Sequential Monte Carlo Methods in Practice , pp. 139-158
    • Godsill, S.1    Clapp, T.2
  • 22
    • 0027580559 scopus 로고
    • Novel approach to nonlinear/non-Gaussian Bayesian state estimation
    • Apr
    • N. J. Gordon, D. J. Salmond, and A. F. Smith, "Novel approach to nonlinear/non-Gaussian Bayesian state estimation," Proc. Inst. Electr. Eng.-F, vol. 140, no. 2, pp. 107-113, Apr. 1993.
    • (1993) Proc. Inst. Electr. Eng.-F , vol.140 , Issue.2 , pp. 107-113
    • Gordon, N.J.1    Salmond, D.J.2    Smith, A.F.3
  • 23
    • 36349003669 scopus 로고    scopus 로고
    • Distributed particle filter for target tracking
    • presented at the, Rome, Italy, Apr
    • D. Gu, "Distributed particle filter for target tracking," presented at the Int. Conf. Robot. Autom., Rome, Italy, Apr. 2007.
    • (2007) Int. Conf. Robot. Autom.
    • Gu, D.1
  • 24
    • 54249143036 scopus 로고    scopus 로고
    • Consensus based distributed particle filter in sensor networks
    • presented at the, Zhangjiajie, China, Jun
    • D. Gu, J. Sun, Z. Hu, and H. Li, "Consensus based distributed particle filter in sensor networks," presented at the Int. Conf. Inf. Autom., Zhangjiajie, China, Jun. 2008.
    • (2008) Int. Conf. Inf. Autom.
    • Gu, D.1    Sun, J.2    Hu, Z.3    Li, H.4
  • 25
    • 77953817249 scopus 로고    scopus 로고
    • Time-space-sequential distributed particle filtering with low-rate communications
    • presented at the, Pacific Grove, CA, Nov
    • O. Hlinka, P. M. Djuric, and F. Hlawatsch, "Time-space-sequential distributed particle filtering with low-rate communications," presented at the Asilomar Conf. Signals, Syst., Comput., Pacific Grove, CA, Nov. 2009.
    • (2009) Asilomar Conf. Signals, Syst., Comput.
    • Hlinka, O.1    Djuric, P.M.2    Hlawatsch, F.3
  • 26
    • 41849123126 scopus 로고    scopus 로고
    • A basic convergence result for particle filtering
    • DOI 10.1109/TSP.2007.911295
    • X.-L. Hu, T. B. Schon, and L. Ljung, "A basic convergence result for particle filtering," IEEE Trans. Signal Process., vol. 56, no. 4, pp. 1337-1348, Apr. 2008. (Pubitemid 351493831)
    • (2008) IEEE Transactions on Signal Processing , vol.56 , Issue.4 , pp. 1337-1348
    • Hu, X.-L.1    Schon, T.B.2    Ljung, L.3
  • 27
    • 0034186948 scopus 로고    scopus 로고
    • Gaussian filters for nonlinear filtering problems
    • May
    • K. Ito and K. Xiong, "Gaussian filters for nonlinear filtering problems," IEEE Trans. Autom. Control, vol. 45, no. 5, pp. 910-927, May 2000.
    • (2000) IEEE Trans. Autom. Control , vol.45 , Issue.5 , pp. 910-927
    • Ito, K.1    Xiong, K.2
  • 28
    • 0033723743 scopus 로고    scopus 로고
    • A new method for the nonlinear transformation of means and covariances in filters and estimators
    • Mar
    • S. Julier, J. Uhlmann, and H. F. Durrant-Whyte, "A new method for the nonlinear transformation of means and covariances in filters and estimators," IEEE Trans. Autom. Control, vol. 45, no. 3, pp. 477-482, Mar. 2000.
    • (2000) IEEE Trans. Autom. Control , vol.45 , Issue.3 , pp. 477-482
    • Julier, S.1    Uhlmann, J.2    Durrant-Whyte, H.F.3
  • 29
    • 47949126235 scopus 로고    scopus 로고
    • Wideband target tracking by using SVR-based sequential Monte Carlo method
    • Nov
    • N. Kabaoglu and H. A. Cirpan, "Wideband target tracking by using SVR-based sequential Monte Carlo method," Signal Process., vol. 88, no. 11, pp. 2804-2816, Nov. 2008.
    • (2008) Signal Process. , vol.88 , Issue.11 , pp. 2804-2816
    • Kabaoglu, N.1    Cirpan, H.A.2
  • 31
    • 0036687287 scopus 로고    scopus 로고
    • Comment on "a new method for the nonlinear transformation of means and covariances in filters and estimators"
    • DOI 10.1109/TAC.2002.800742, PII 1011092002800742
    • T. Lefebvre, H. Bruyninckx, and J. De Schutter, "Comment on A new method for nonlinear transformation of means and covariances in filters and estimators," IEEE Trans. Autom. Control, vol. 47, pp. 1406-1408, Aug. 2002. (Pubitemid 34959784)
    • (2002) IEEE Transactions on Automatic Control , vol.47 , Issue.8 , pp. 1406-1408
    • Lefebvre, T.1    Bruyninckx, H.2    De Schutter, J.3
  • 32
    • 77950791121 scopus 로고    scopus 로고
    • Markov chain distributed particle filters (MCDPF)
    • presented at the , Shanghai, China, Dec
    • S. Lee and M. West, "Markov chain distributed particle filters (MCDPF)," presented at the Conf. Decision Control, Shanghai, China, Dec. 2009.
    • (2009) Conf. Decision Control
    • Lee, S.1    West, M.2
  • 33
    • 21344458535 scopus 로고    scopus 로고
    • Metropolized independent sampling with comparisons to rejection sampling and importance sampling
    • J. S. Liu, "Metropolized independent sampling with comparisons to rejection sampling and importance sampling," Statist. Comput., vol. 6, no. 2, pp. 113-119, Jun. 1996. (Pubitemid 126724248)
    • (1996) Statistics and Computing , vol.6 , Issue.2 , pp. 113-119
    • Liu, J.S.1
  • 34
    • 79952373035 scopus 로고    scopus 로고
    • Distributed particle filtering for target tracking in sensor networks
    • H. Liu, H. So, F. Chan, and K. Lui, "Distributed particle filtering for target tracking in sensor networks," Progr. Electromagn. Res. C, vol. 11, pp. 171-182, 2009.
    • (2009) Progr. Electromagn. Res. C , vol.11 , pp. 171-182
    • Liu, H.1    So, H.2    Chan, F.3    Lui, K.4
  • 36
    • 79952433515 scopus 로고    scopus 로고
    • Asynchronous distributed particle filter via decentralized evaluation of Gaussian products
    • presented at the, Scotland, U.K., Jul
    • B. N. Oreshkin and M. J. Coates, "Asynchronous distributed particle filter via decentralized evaluation of Gaussian products," presented at the Int. Conf. Inf. Fusion, Edinburgh, Scotland, U.K., Jul. 2010.
    • (2010) Int. Conf. Inf. Fusion, Edinburgh
    • Oreshkin, B.N.1    Coates, M.J.2
  • 37
    • 0036475204 scopus 로고    scopus 로고
    • A Bayesian approach to tracking multiple targets using sensor arrays and particle filters
    • DOI 10.1109/78.978377, PII S1053587X02005664
    • M. Orton and W. Fitzgerald, "A Bayesian approach to tracking multiple targets using sensor arrays and particle filters," IEEE Trans. Signal Process., vol. 50, no. 2, pp. 216-223, Feb. 2002. (Pubitemid 34291503)
    • (2002) IEEE Transactions on Signal Processing , vol.50 , Issue.2 , pp. 216-223
    • Orton, M.1    Fitzgerald, W.2
  • 38
    • 65649105456 scopus 로고    scopus 로고
    • Tracking in wireless sensor networks using particle filtering: Physical layer considerations
    • May
    • O. Ozdemir, R. Niu, and P. K. Varshney, "Tracking in wireless sensor networks using particle filtering: Physical layer considerations," IEEE Trans. Signal Process., vol. 57, no. 5, pp. 1987-1999, May 2009.
    • (2009) IEEE Trans. Signal Process. , vol.57 , Issue.5 , pp. 1987-1999
    • Ozdemir, O.1    Niu, R.2    Varshney, P.K.3
  • 39
    • 4544348291 scopus 로고    scopus 로고
    • Auxiliary variable based particle filters
    • A. Doucet, N. de Freitas, and N. Gordon, Eds. New York: Springer
    • M. K. Pitt and N. Shephard, "Auxiliary variable based particle filters," in Sequential Monte Carlo Methods in Practice, A. Doucet, N. de Freitas, and N. Gordon, Eds. New York: Springer, 2001, pp. 273-293.
    • (2001) Sequential Monte Carlo Methods in Practice , pp. 273-293
    • Pitt, M.K.1    Shephard, N.2
  • 40
    • 33847102733 scopus 로고    scopus 로고
    • Decentralized sensor fusion with distributed particle filters
    • presented at the, Acapulco, Mexico, Aug
    • M. Rosencrantz, G. Gordon, and S. Thrun, "Decentralized sensor fusion with distributed particle filters," presented at the Conf. Uncertainty in Artif. Intell., Acapulco, Mexico, Aug. 2003.
    • (2003) Conf. Uncertainty in Artif. Intell.
    • Rosencrantz, M.1    Gordon, G.2    Thrun, S.3
  • 41
    • 0002913297 scopus 로고
    • Recursive state estimation: Unknown but bounded errors and system inputs
    • Feb
    • F. C. Schweppe, "Recursive state estimation: Unknown but bounded errors and system inputs," IEEE Trans. Autom. Control, vol. AC-13, no. 1, pp. 22-28, Feb. 1968.
    • (1968) IEEE Trans. Autom. Control , vol.AC-13 , Issue.1 , pp. 22-28
    • Schweppe, F.C.1
  • 42
    • 33744915783 scopus 로고    scopus 로고
    • Distributed particle filter withGMMapproximation for multiple targets localization and tracking in wireless sensor network
    • presented at the, Los Angeles, CA, Apr
    • Z. Sheng, Y.-H. Hu, and P. Ramanathan, "Distributed particle filter withGMMapproximation for multiple targets localization and tracking in wireless sensor network," presented at the Int. Conf. Inf. Process. Sensor Netw., Los Angeles, CA, Apr. 2005.
    • (2005) Int. Conf. Inf. Process. Sensor Netw.
    • Sheng, Z.1    Hu, Y.-H.2    Ramanathan, P.3
  • 43
    • 70450263414 scopus 로고    scopus 로고
    • Asynchronous distributed PF algorithm for WSN target tracking
    • presented at the, Leipzig, Germany, Jun
    • C. Song, H. Zhao, and W. Jing, "Asynchronous distributed PF algorithm for WSN target tracking," presented at the Int. Conf. Wireless Commun. Mobile Comput., Leipzig, Germany, Jun. 2009.
    • (2009) Int. Conf. Wireless Commun. Mobile Comput.
    • Song, C.1    Zhao, H.2    Jing, W.3
  • 45
    • 61849103432 scopus 로고    scopus 로고
    • Local importance sampling: A novel technique to enhance particle filtering
    • Apr
    • P. Torma and C. Szepesvari, "Local importance sampling: A novel technique to enhance particle filtering," J. Multimedia, vol. 1, no. 1, pp. 32-43, Apr. 2006.
    • (2006) J. Multimedia , vol.1 , Issue.1 , pp. 32-43
    • Torma, P.1    Szepesvari, C.2
  • 46
    • 0010273556 scopus 로고    scopus 로고
    • A dominating-set-based routing scheme in ad hoc wireless networks
    • Sep
    • J. Wu and H. Li, "A dominating-set-based routing scheme in ad hoc wireless networks," Telecommun. Syst. J., vol. 3, p. 6384, Sep. 2001.
    • (2001) Telecommun. Syst. J. , vol.3 , pp. 6384
    • Wu, J.1    Li, H.2
  • 47
    • 3142770678 scopus 로고    scopus 로고
    • Fast linear iterations for distributed averaging
    • Sep
    • L. Xiao and S. Boyd, "Fast linear iterations for distributed averaging," Syst. Control Lett., pp. 65-78, Sep. 2004.
    • (2004) Syst. Control Lett. , pp. 65-78
    • Xiao, L.1    Boyd, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.