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Research on the Elite Genetic Particle Filter Algorithm and Application on High-Speed Flying Target Tracking by Lixia Nie; Xuguang Yang; Jinglin He; Yaya Mu; Likang Wang is a book available to read on EtoBox.

What is Research on the Elite Genetic Particle Filter Algorithm and Application on High-Speed Flying Target Tracking about?

Resampling is an inevitable process in the standard particle filter, but it also can lead to particles vanish diversity and degenerate the performance. In order to solve this problem, an elite genetic resampling particle filter is proposed in this paper. The global optimization of the genetic algorithm could keep particles move towards real state probability density function. The state estimate is corresponding to the maximum fitness state after several evolution generations. As the maximum fitness of every generation of the algorithm constitutes a non-negative bounded sub-martingale, this algorithm theoretically converges to the optimal global solution with probability 1. The estimate expression of absolute error is also concluded. The simulation demonstrates that this algorithm outperforming the particle filter using genetic operation in resampling could improve the estimation accuracy of high-speed flying targets tracking in the non-Gaussian background.

Author

Lixia Nie; Xuguang Yang; Jinglin He; Yaya Mu; Likang Wang

Publisher

Springer Singapore : Imprint: Springer

Published

2021

Language

EN

ISBN

9789811584107

Subjects

Engineering, Stem