[1] Gordon N J,Salmond D J,Smith A F M. Novel Approach to Nonlinear /Non-Gaussian Bayesian State Estimation [J]. IEE Proceedings on Radar and Signal Processing(S0143-7070),1993,140(2):107-113.
[2] XU Lin-zhong. Visual Tracking Based on Particle Filter and Kalman Filter under Complex Environments [D]. Hangzhou:Zhejiang University,2008:51-56.
[3] ZHANG Wen-xiu,LIANG Yi. Mathematics Base of Genetic Algorithm [M]. Xi’an:Xi’an Jiaotong University Press,2000.
[4] Higuchi T. Monte Carlo filter using the genetic algorithm operators [J]. Journal of Statistics Computer Simulation(S0094-9655),1997,59(1):l-23.
[5] Ronghua L,Bingrong H. Coevolution based adaptive Monte Carlo localization [J]. International Journal of Advanced Robotic Systems(S1729-8806),2004,1(3):183-190.
[6] Park S,Hwang J,Rou K,et al. A new particle filter inspired by biological evolution:genetic filter [J]. International Journal of Applied Science Engineering and Technology(S1307-4318),2007,4(1):459-463.
[7] YE Long,WANG Jing-ling,ZHANG Qin. Genetic resampling Particle filter [J]. Acta Automatica Sinica,2007,33(8):885-887.
[9] FANG Zheng,TONG Guo-feng,XU Xin-he. A Localization method for particle-filter based on the optimization of particle swarm [J]. Control Theory &Application,2008,25(3):533-537.
[10] Gilks W R,Berzuini C. Following a moving target monte carlo inference for dynamic Bayesian models [J]. Journal of the Royal Statistical Society B(S1369-7412),2001,36(1):127-146.