Radar weak target detection based on improved particle filter algorithm

• 1、National Lab of Radar Signal Processing,Xidian University,Xi'an 710071

Abstract：Particle filter-based for track-before-detect is an efficient approach for weak target detection and track under low signal-to-noise ratio (SNR) environment. But the traditional particle filter has some drawbacks, such as large calculation and particle degeneration. Firstly a technique for pretreatment the raw radar data through a low detection threshold by constant false alarm rate (CFAR) is proposed in this paper, thus these particles are distributed at the range of target influence as possible. Then Halton sequences are adopted to produce uniform particles, meanwhile, a strategy that partitions these particles into continue ones and adaptive ones is performed. This strategy can improve the diversity among the particles and reduce the amount of computation. The results from both synthetic and experimental data are given that the detection performance of this approach is better than the one of traditional method and It can be realized effectively that the detection of targets in low SNR, in more favor of project applications.

Keywords： signal and information processing particle filter track-before-detect weak target detection?