Improved particle filter based on differential evolution

Electronics Letters

Volumn 47, Issue 19, 2011, Pages 1078-1079

  Li, H W ^a   Wang, J ^a   Su, H T ^a  

^a XIDIAN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DE ALGORITHMS; DIFFERENTIAL EVOLUTION; DIFFERENTIAL EVOLUTION ALGORITHMS; IMPROVED PARTICLE FILTER; PARTICLE FILTER; PROPOSAL DISTRIBUTION; RESAMPLING ALGORITHMS; RESAMPLING SCHEME; UNSCENTED KALMAN FILTER; UNSCENTED PARTICLE FILTERS;

DISTRIBUTED COMPUTER SYSTEMS; EVOLUTIONARY ALGORITHMS; TARGET TRACKING;

NONLINEAR FILTERING;

EID: 84855385569     PISSN: 00135194     EISSN: None     Source Type: Journal    
DOI: 10.1049/el.2011.1825     Document Type: Article

References (7)

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3. De Freitas, J.F.G., Niranjan, M., Gee, A.H., and Doucet, A.: ' Sequential Monte Carlo methods to train neural network models ', Neural Comput., 2000, 12, (4), p. 955-993 10.1162/089976600300015664 0899-7667
4. ' The unscented particle filter ', Technical report CUED/F-INFENG/TR 380, 2000, p. 1-40
5. Musso, C., Oudjane, N., and Legland, F.: ' Improving regularised particle filter ', Doucet, A., de Freitas, J.F.G., Gordon, N.J., Sequential Monte Carlo methods, (Springer-Verlag, 2001), p. 247-272
6. Chakraborty, U.K.: ' Advances in differential evolution ', (Springer-Verlag, Berlin Heidelberg, 2008), p. 1-27
7. Montgomery, J.: ' Crossover and the different faces of differential evolution searches ', IEEE Cong. Evolutionary Computation, Barcelona, Spain, 2010, p. 1-8