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Volume 30 Issue 4
Dec.  2010
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Gong Ya-xin, Yang Hong-wen, Hu Wei-dong, Yu Wen-xian . Multiple Model Particle Filter Based Track-before-Detect for Maneuvering Weak Target[J]. Journal of Electronics & Information Technology, 2008, 30(4): 941-944. doi: 10.3724/SP.J.1146.2006.01528
Citation: Gong Ya-xin, Yang Hong-wen, Hu Wei-dong, Yu Wen-xian . Multiple Model Particle Filter Based Track-before-Detect for Maneuvering Weak Target[J]. Journal of Electronics & Information Technology, 2008, 30(4): 941-944. doi: 10.3724/SP.J.1146.2006.01528

Multiple Model Particle Filter Based Track-before-Detect for Maneuvering Weak Target

doi: 10.3724/SP.J.1146.2006.01528
  • Received Date: 2006-10-10
  • Rev Recd Date: 2007-04-02
  • Publish Date: 2008-04-19
  • Track-Before-Detect(TBD) is an efficient approach which detects and tracks targets in low SNR environment. A multiple model particle filter algorithm is presented in this paper for the maneuvering weak target which dynamics is complicated. In this algorithm a variable which denotes whether the target is existent or not and a variable which denotes the dynamics model of the target are augmented. The hybrid filter which includes two discrete variables is implemented by particle filter. Simulation results show that this algorithm can efficiently detect and track maneuvering targets on the condition of low SNR which the classical tracking methods can not work normally.
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  • Blackman S and Popoli R. Design and Analysis of Modern[2]Tracking Systems[M]. New York: Artech House Publishers,[3]99, ch.17: Detection and tracking of dim targets in clutter.[4]Ristic R, Arulampalam S, and Gordon N. Beyond the[5]Kalman Filter-Particle Filters for Tracking Applications[M].[6]Boston-London: Artech House 2004, ch.11:Detection and[7]tracking of stealthy targets.[8]Carlson B D, Evans E D, and Wilson S L. Search radar[9]detection and track with the Hough transform, part I: System[10]concept[J]. IEEE Trans. on Aerospace and Electronic System,[11]94, 30(1): 102-108.[12]Barniv Y. Dynamic programming algorithm for detecting[13]dim moving targets[M]. In Multitarget Multisensor Tracking:[14]Advanced Applications (Y. Bar-Shalom, ed), Norwood, MA:[15]Artech House, 1990, ch.4.[16]Arnold J, Shaw S, and Pasternack H. Efficient target tracking[17]using dynamic programming[J]. IEEE Trans. on Aerospace[18]and Electronic System, 1993, 29(1): 44-56.[19]Stone L D, Barlow C A, and Corwin T L. Bayesian Multiple[20]Target Tracking[M]. Norwood, MA: Artech House, 1999, ch.6:[21]Likelihood ratio detection and tracking: theoretical foundations.[22]Salmond D J and Birch H. A particle filter for track-beforedetect[[23]Proceedings of the American Control Conference,[24]Arlington, VA June 25-27, 2001: 3755-3760.[25]Rutten M G, Gordon N J, and Maskell S. particle-based[26]Track-Before-Detect in Rayleigh noise[J]. SPIE, 2004, Vol.[27]28: 509-519.[28]Boers Y and Driessen H. Particle Filter Based Track Before[29]Detect Algorithms[J].[J]. SPIE.2003,Vol. 5204:20-[30]Boers Y and Driessen H. Multitarget particle filter track[31]before detect application[J]. IEE Proc.-Radar Sonar Navig.,[32]04, 151(6): 351-357.[33]Torstensson J and Trieb M. Particle filtering for track before[34]detect applications[D]. [Masters Thesis], Division of Automatic[35]Control Department of Electrical Engineering, Linkping[36]University, Sweden, 2005.
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