On particle filters for landmine detection using impulse ground penetrating radar

SAM 2008 - 5th IEEE Sensor Array and Multichannel Signal Processing Workshop

Volumn , Issue , 2008, Pages 225-228

  Ng, William ^a   Chan, Thomas C T ^a   So, H C ^a   Ho, K C ^b  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^b UNIVERSITY OF MISSOURI   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC MICROSCOPES; AMPLITUDE MODULATION; BOMBS (ORDNANCE); CHEMICAL SENSORS; COMPUTATIONAL METHODS; COMPUTER SIMULATION; GEOLOGICAL SURVEYS; GEOPHYSICAL PROSPECTING; INDUSTRIAL MANAGEMENT; MARKOV PROCESSES; METAL DETECTORS; MISSILE BASES; RADAR; RADAR ANTENNAS; SENSOR ARRAYS; SENSORS; SIGNAL PROCESSING; TRACKING RADAR;

COMPUTER SIMULATIONS; CONSISTENT PERFORMANCE; GROUND PENETRATING RADARS; GROUND-PENETRATING RADAR; LAND MINE DETECTION; LANDMINES; MARKOV-CHAIN MONTE-CARLO; MULTICHANNEL SIGNAL PROCESSING; PARTICLE FILTERING; REVERSIBLE JUMPS; SEQUENTIAL MONTE CARLO; STOCHASTIC APPROACH;

MONTE CARLO METHODS;

EID: 52949121036     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SAM.2008.4606860     Document Type: Conference Paper

References (19)

1. L. Peter Jr., J. J. Daniel, and J. D. Young, "Ground penetrating radar as a subsurface environmental sensing tool," Proceedings of the IEEE, vol. 82, pp. 1802-1822, Dec. 1994.
2. D.J. Daniels, Surface-Penetrating Radar, Institution of Electrical Engineers, London, 1996.
3. T. R. Witten, "Present state of the art in ground-penetrating radars for mine detection," in Proc. SPIE Conf., Orlando, FL, 1998, vol. 3392, pp. 576-586.
4. R. Wu, A. Clement, J. Li, E. G. Larsson, M. Bradley, J. Habersat, and G. Maksymonko, "Adaptive ground bounce removal," Electronics Letters, vol. 37, no. 20, pp. 1250-1252, 2001.
5. K. C. Ho and P. D. Gader, "A linear prediction land mine detection algorithm for hand held ground penetrating radar," IEEE Transactions on Geosci. Remote Sensing, vol. 40, no. 6, pp. 1374-1384, 2002.
6. K. C. Ho, P. D. Gader, and J. N. Wilson, "Improving landmine detection using frequency domain features from ground penetrating radar," in Proc. IEEE International Conference on Geosci. Remote Sensing Symposium, 2004, vol. 3, pp. 1617-1620.
7. A. M. Zoubir, I. J. Chant, C. L. Brown, B. Barkat, and C. Abeynayake, "Signal processing techniques for landmine detection using impulse ground penetrating radar," IEEE Sensors Journal, vol. 2, no. 1, pp. 41-51, 2002.
8. L. Tang, P. A. Torrione, C. Eldeniz, and L. M. Collins, "Ground bounce tracking for landmine detection using a sequential Monte Carlo method," in Proceedings of SPIE, 2007, vol. 6553.
9. N.J. Gordon, D.J. Salmond, and A.F.M. Smith, "Novel approach to non-linear/non-Gaussian Bayesian state estimation," IEE Proceedings-F, vol. 140, no. 2, pp. 107-113, 1993.
10. G. Kitagawa, "Monte Carlo filter and smoother for non-Gaussian nonlinear state space models," Journal of Computational and Graphical Statistics, vol. 5, no. 1, pp. 1-25, 1996.
11. A. Doucet, S. Godsill, and C. Andrieu, "On sequential Monte Carlo sampling methods for Bayesian filtering," Statistics and Computing, vol. 10, pp. 197-208, 2000.
12. P.J. Green, "Reversible jump Markov chain Monte Carlo computation and Bayesian model determination," Biometrika, vol. 82, no. 4, pp. 711-732, 1995.
13. ," http://users.ece.gatech.edu/~wrscott/.
14. J. R. Larocque, J. P. Reilly, and W. Ng, "Particle filter for tracking an unknown number of sources," IEEE Transactions on Signal Processing, vol. 50, no. 12, pp. 2926-2937, Dec. 2002.
15. O. Cappé, S. J. Godsill, and E. Moulines, "An overview of existing methods and recent advances in sequential Monte Carlo," in IEEE Transactions on Large Scale Dynamical Systems Workshop, 2007, vol. 95, pp. 889-924.
16. A. Doucet, N. de Freitas, and N. Gordon, Eds., Sequential Monte Carlo in Practice, Springer-Verlag, New York, 2001.
17. J. Liu and R. Chen, "Sequential Monte Carlo methods for dynamic systems," Journal of the American Statistical Association, vol. 93, no. 443, pp. 1032-1044, 1993.
18. J. Bernardo and A. Smith, Bayesian Theory, Wiley & Sons Ltd., New York, 1994.
19. W. K. Hastings, "Monte Carlo sampling methods using Markov chains and their applications," Biometrika, vol. 57, no. 1, pp. 97-109, 1970.