Weak Target Tracking Based on Improved Particle Filter Algorithm
Kai-Qi Hu, Pengbo Wang, In-Kai Zhou, Hongcheng Zeng, Yue Fang
Abstract
Kai-Qi Hu, Pengbo Wang, In-Kai Zhou, Hongcheng Zeng, Yue Fang
Abstract
The traditional particle filter detection algorithm cannot detect weak targets efficiently in the face of the current complex environment. To solve that problem, an improved particle filtering algorithm is proposed in this paper. Firstly, the basic theory of particle filter is introduced, the defects of particle filter method are pointed out. Utilizing auxiliary particle filter and resampling in filtering algorithm is proposed in this paper. So that particle degeneration can be solved which is the significant problem in particle filtering algorithm. A simulation experiment has been conducted to verify the effectiveness of the algorithm.
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The traditional particle filter detection algorithm cannot detect weak targets efficiently in the face of the current complex environment. To solve that problem, an improved particle filtering algorithm is proposed in this paper. Firstly, the basic theory of particle filter is introduced, the defects of particle filter method are pointed out. Utilizing auxiliary particle filter and resampling in filtering algorithm is proposed in this paper. So that particle degeneration can be solved which is the significant problem in particle filtering algorithm. A simulation experiment has been conducted to verify the effectiveness of the algorithm.
Key concepts: Particle filter, Auxiliary particle filter, Resampling, Tracking (education), Algorithm, Computer science, Monte Carlo localization, Particle (ecology)