An improved particle filter algorithm and its performance analysis

Advances in Information Sciences and Service Sciences

Volumn 4, Issue 23, 2012, Pages 547-555

  Li, Ming ^a   He, Yong Feng ^a   Nian, Fu Zhong ^a  

^a LANZHOU UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Artificial fish swarm algorithm; Chaotic search; Particle degradation; Particle filter; Particle impoverishment

Indexed keywords

ARTIFICIAL FISH; ARTIFICIAL FISH SWARM ALGORITHMS; CHAOTIC SEARCH; CONVERGENCE SPEED; FILTERING METHOD; IMPROVED PARTICLE FILTER; MONTE CARLO; NON-GAUSSIAN SYSTEMS; PARTICLE DEGRADATION; PARTICLE FILTER; PARTICLE FILTER ALGORITHMS; PERFORMANCE ANALYSIS; VARIABLE STEP;

ALGORITHMS;

MONTE CARLO METHODS;

EID: 84872072037     PISSN: 19763700     EISSN: 22339345     Source Type: Journal    
DOI: 10.4156/AISS.vol4.issue23.68     Document Type: Article

References (17)

1. Gordon, N. J., Salmond, D. J., Smith, A. F. M., "A novel approach to nonlinear and non-Gaussian Bayesian state estimation, " IEEE Proceeding, vol. 140, no. 2, pp. 107-113, 1993.
2. Das S, Kale A., Vaswani N, "Particle Filter With a Mode Tracker for Visual Tracking Across Illumination Changes, " IEEE Transactions on Image Processing, vol. 21, no. 4, pp. 2340-2346, 2011.
3. Zhimin CHEN, Yuming BO, Panlong WU, Mingfeng YIN, "Quasi-Monte Carlo Particle Filter Fault Prognosis Algorithm Based on GRNN, " Journal of Convergence Information Technology, vol. 7, no. 7, pp. 96-103, 2012.
4. Jia Li Geng Zhang, "A Robust Tracking Method Based on Particle Filer via Multi-Cues, " International Journal of Digital Content Technology and its Applications, vol. 6, no. 14, pp. 314-321, 2012.
5. Tiancheng Li, Tariq Pervez Sattar, "Deterministic resampling: Unbiased sampling to avoid sample impoverishment in particle filters, " Signal Processing, vol. 92, no. 7, pp. 1637-1645, 2012.
6. Randal Douc, Eric Moulines, Jimmy Olsson, "Optimality of the auxiliary particle filter, " Probability and Mathematical Statistics, vol. 29, no. 1, pp. 1-28, 2009.
7. Du Hang-Yuan, Hao Yan-Ling, Zhao Yu-Xin, "Improved particle filter based on ensemble Kalman filter, " Systems Engineering and Electronics, vol. 33, no. 7, pp. 1653-1657, 2011.
8. Hai-dong Hu, Xian-lin Huang, Ming-ming Li, "Federated Unscented Particle Filtering Algorithm for SINS/CNS/GPS system, " Journal of Central South University of Technology, vol. 17, no. 4, pp. 778-785, 2010.
9. Giremus A., Tourneret, J.-Y., djuric, P. M., "An improved regularized particle filter for GPS/INS integration, " Signal processing Advances in Wireless Communications, pp. 1013-1017, 2005.
10. Akhtar, S., "A PSO Accelerated Immune Particle Filter for Dynamic State Estimation, " Canadian Conference on Computer and Robot Vision, pp. 72-79, 2011.
11. Jong-Bae Park, "An Improved Particle Swarm Optimization for Nonconvex Economic Dispatch Problems, " IEEE Transactions on Power Systems, vol. 25, no. 1, pp. 156-166, 2010.
12. Seongkeun Park, "A New Evolutionary Particle Filter for the Prevention of Sample Impoverishment, " IEEE Transactions on Evolutionary Computation, vol. 13, no. 4, pp. 801-809, 2009.
13. LI Xiao-lei, A new intelligent optimized algorithm-artificial fish swarm algorithm, Doctoral Dissertation of ZheJiang University, China, 2003.
14. Doucet A, Godsill S, Andrieu C, "On sequential Monte Carlo sampling methods for Bayesian filtering, " Statistics and computing, vol. 10, no. 3, pp. 197-208, 2000.
15. M. Sanjeev Arulampalam, Simon Makell, Neil Grodon, Tim Clapp, "A Turorial on Particle Filters for Online Nonlinear/Non-Gaussian Bayesian Tracking, " IEEE Transactions on Signal processing, vol. 50, no. 2, pp. 174-188, 2002.
16. Pat Crawford, "Public participation: finding knowledge and clarity in chaos, " Innovation journal, vol. 16, no. 2, pp. 2-6, 2011.
17. Zhang Xue-Feng, Fan Jiu-Lun, "A new piecewise nonlinear chaotic map and its performance, " ACTA PHYSICA SINICA, vol. 59, no. 4, pp. 2298-2304, 2010.