An improved particle filter algorithm based on neural network for target tracking

IFIP International Federation for Information Processing

Volumn 228, Issue , 2006, Pages 297-305

  Qin, Wen ^a   Peng, Qicong ^a  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

General regression neural network; Particle filter; Target tracking

Indexed keywords

ALGORITHMS; MONTE CARLO METHODS;

GENERAL REGRESSION NEURAL NETWORK; IMPORTANCE DENSITIES; IMPROVED PARTICLE FILTER; PARTICLE FILTER; PRIOR DENSITIES; SAMPLE SIZES; TRACKING PROBLEM;

TARGET TRACKING;

EID: 34047122038     PISSN: 15715736     EISSN: None     Source Type: Book Series    
DOI: None     Document Type: Article

References (6)

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4. Yuan Zejian, Zheng Nanning, Jia Xinchun. The Gauss-Hermite Particle Filter. Dian Zi Xue Bao, 2003,31 (7):970-973
5. Peter Torma, Csaba Szepesvari. LS-N-IPS:an improvement of particle filters by means of local search. In Proc. Non-Linear Control Systems (NOLCOS'OI),2001
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