A Particle Filter Track-Before-Detect Algorithm Based on Hybrid Differential Evolution

Algorithms

Lin Li¹  Chaozhu Zhang¹  Yu Wang¹ 

[1] Department of Information and Communication Engineering, Harbin Engineering University,Harbin 150001, China;

关键词: track-before-detect;    particle filter;    hybrid differential evolution;   

DOI  :  10.3390/a8040965

来源: DOAJ

【 摘 要 】

In this paper, we address the problem of detecting and tracking targets with a low signal-to-noise ratio (SNR) by exploiting hybrid differential evolution (HDE) in the particle filter track-before-detect (PF-TBD) context. Firstly, we introduce the BayesianPF-TBD method and its weaknesses. Secondly, the HDE algorithm is regarded as a novel particle updating strategy, which is proposed to optimize the performance of the PF-TBD algorithm. Thirdly, we combine the systematic resampling approach to enhance the performance of the proposed algorithm. Then, an improved PF-TBD algorithm based on the HDE method is proposed. Experiment results indicate that the proposed method has better performance in detecting and tracking than previous algorithms when the targets have alow SNR.

【 授权许可】

Unknown