A new particle filter with GA-MCMC resampling

Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07

Volumn 1, Issue , 2007, Pages 146-150

  Li, Cui Yun ^a   Ji, Hong Bing ^a  

^a XIDIAN UNIVERSITY   (China)

Author keywords

Genetic algorithm; Markov Chain Monte Carlo; Particle filter; Resampling

Indexed keywords

GENETIC ALGORITHMS; MARKOV PROCESSES; PATTERN RECOGNITION; WAVELET ANALYSIS;

MARKOV CHAIN MONTE-CARLO; NON LINEAR; NONGAUSSIAN PROBLEMS; PARTICLE FILTER; PARTICLE FILTERING; RESAMPLING; SAMPLE IMPOVERISHMENT;

MONTE CARLO METHODS;

EID: 45149087416     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICWAPR.2007.4420653     Document Type: Conference Paper

References (7)

1. Bar-Shalom, Y., Li, X.R., and Kirubarajan,T. E stimation with Applications to Tracking and Navigation:Theory, Algorithm and Software[M]. New York: Wiley, 2001.
2. Gordon, N.J.; Salmond, D.J.; Smith, A.F.M.; Novel approach to nonlinear/non-Gaussian Bayesian state estimation [J]. IEE F Proceedings Radar and Signal Processing, Volume 140, Issue 2, Page(s): 107-113 ,April 1993
3. Arulampalam, M.S.; Maskell, S.; Gordon, N.; Clapp, T.; A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking[J]. IEEE Transactions on Signal Processing, Volume 50, Issue 2, Page(s): 174-188 ,Feb. 2002
4. A.Doucet. "On sequential Monte Carlo methods for Bayesian filtering." Dept.Eng. Univ.Cambridge, UK, Tech.Rep, 1998.
5. Zia Khan, Tucker Balch, and Frank Dellaert , "An MCMC-Based Particle Filter for Tracking Multiple Interacting Targets" , Springer-Verlag Berlin Heidelberg,pp. 279-290, 2004.
6. Higuchi T. Monte Carlo filtering using genetics Algorithm operator [J].J of Statistical Computation and Simulation, ,59(1): 1-23, 1997
7. S. Park, J. Hwang, K. Rou, and E. Kim , A New Particle Filter Inspired by Biological Evolution: Genetic Filter, International Journal of Applied Science Engineering and Technology,4(1), 459-463,2007