A particle filter track-before-detect algorithm based on hybrid differential evolution????(Open Access)

作者：Zhang, Chaozhu; Li, Lin^*; Wang, Yu

来源：Algorithms, 2015, 8(4): 965-981.

DOI：10.3390/a8040965

• A-particles
• Hybrid differential evolution
• Low signal-to-noise ratio
• Particle filter
• Systematic resampling
• Track before detect
• Track before detect algorithm
• Updating strategy

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 bayesian PF-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 a low SNR.

• 出版日期2015
• 单位哈尔滨工程大学