Techniques for birth-particle placement in the probability hypothesis density particle filter applied to passive radar

IET Radar, Sonar and Navigation

Volumn 2, Issue 5, 2008, Pages 351-365

  Tobias, M ^a,b   Lanterman, A D ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b MIT LINCOLN LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LEAST SQUARES APPROXIMATIONS; PROBABILITY; RADAR; TARGETS; WAVE FILTERS;

PARTICLE FILTERING; PASSIVE COHERENT LOCATION; PASSIVE RADARS; PROBABILITY HYPOTHESIS DENSITY; PROBABILITY HYPOTHESIS DENSITY FILTER;

RADAR MEASUREMENT;

EID: 50849110135     PISSN: 17518784     EISSN: None     Source Type: Journal    
DOI: 10.1049/iet-rsn:20070051     Document Type: Article

References (16)

1. Tobias, M., and Lanterman, A.D.: ' Probability hypothesis density-based multitarget tracking with bistatic range and Doppler observations ', IEE Proc., Radar Sonar Navig., 2005, 152, p. 195-205 10.1049/ip-rsn:20045031 1350-2395
2. Mahler, R.P.S.: ' Multitarget Bayes filtering via first-order multitarget moments ', IEEE Trans. Aerosp. Electron. Syst., 2003, 39, (4), p. 1152-1178 10.1109/TAES.2003.1261119 0018-9251
3. Zajic, T., and Mahler, R.: ' A particle-systems implementation of the PHD multitarget tracking filter ', Kadar, I., 2003), Signal processing, sensor fusion, and target recognition XII, 5096, p. 291-299, Proc. SPIE
4. Vo, B.-N., Singh, S., and Doucet, A.: ' Sequential Monte Carlo implementation of the PHD filter for multi-target tracking ', Proc. FUSION 2003, Cairns, Australia, 2003, p. 792-799
5. Vo, B.-N., Singh, S., and Doucet, A.: ' Sequential Monte Carlo methods for multi-target filtering with random finite sets ', IEEE Trans. Aerosp. Electron. Syst., 2005, 41, (4), p. 1224-1245 10.1109/TAES.2005.1561884 0018-9251
6. Zajic, T., Ravichandra, B., Mahler, R., Mehra, R., and Noviskey, M.: ' Joint tracking and identification with robustness against unmodeled targets ', Kadar, I., 2003), Signal processing, sensor fusion, and target recognition XII, 5096, p. 279-290, Proc. SPIE
7. Tobias, M., and Lanterman, A.D.: ' A probability hypothesis density-based multitarget tracker using multiple bistatic range and velocity measurements ', Proc. 36th Southeastern Symposium on System Theory, Atlanta, GA, March, 2004, p. 205-209
8. Tobias, M., and Lanterman, A.D.: ' Multitarget tracking using multiple bistatic range measurements with probability hypothesis densities ', Kadar, I., 2004), Signal processing, sensor fusion, and target recognition XIII, 5429, p. 296-305, Proc. SPIE
9. Sidenbladh, H.: ' Multi-target particle filtering for the probability hypothesis density ', Proc. FUSION 2003, Cairns, Australia, 2003, p. 800-806
10. Clark, D., Bell, J., De Saint-Pern, Y., and Petillot, Y.: ' PHD filter multi-target tracking in 3D sonar ', Oceans 2005 - Europe, Brest, France, June, 20-23, 2005, 1, p. 265-270
11. Clark, D., and Bell, J.: ' Bayesian multiple target tracking in forward scan sonar images using the PHD filter ', IEE Proc., Radar Sonar Navig., 2005, 152, (5), p. 327-334 10.1049/ip-rsn:20045068 1350-2395
12. Bose, R., Freedman, A., and Steinberg, B.D.: ' Sequence clean: a modified deconvolution technique for microwave images of contiguous targets ', IEEE Trans. Aerosp. Electron. Syst., 2002, 38, (1), p. 89-97 0018-9251
13. Baker, C.J., Griffiths, H.D., and Papoutsis, I.: ' Passive coherent location radar systems. Part 2: waveform properties ', IEE Proc., Radar Sonar Navig., 2005, 152, (3), p. 160-168 10.1049/ip-rsn:20045083 1350-2395
14. Barton, D.: ' Modern radar system analysis ', (Artech House, Inc., 1988)
15. Howland, P.E.: ' Television based bistatic radar ', 1997, PhD, University of Birmingham, England
16. Howland, P.E.: ' Target tracking using television-based bistatic radar ', IEE Proc., Radar Sonar Navig., 1999, 146, (3), p. 166-174 10.1049/ip-rsn: 19990322 1350-2395