中图分类号：TN95
文献标识码：A
DOI：10.16157/j.issn.0258-7998.200585
中文引用格式：潘凯，陈霄. 一种新型多雷达多目标粒子滤波检测前跟踪算法[J].电子技术应用，2021，47(1)：108-112.
英文引用格式：Pan Kai，Chen Xiao. A new type of multi-radar multi-target particle filter tracking before detection algorithm[J]. Application of Electronic Technique，2021，47(1)：108-112.
A new type of multi-radar multi-target particle filter tracking before detection algorithm
Pan Kai，Chen Xiao
National Defense Key Discipline Laboratory of Communication and Information Transmission and Fusion Technology, Hangzhou Dianzi University，Hangzhou 310018，China
Abstract：Aiming at the problem of target track offset that easily occurs in multi-radar multi-target detection and tracking when the target distance is close, this paper proposes a new type of multi-radar multi-target particle filter tracking before detection algorithm(NM-PF-TBD). The algorithm uses a two-layer particle filter structure. When tracking a target in the target tracking layer, the sensor detection information is recalculated based on other target points in the previous cycle. Secondly, the particle weight is calculated based on the corrected sensor detection information, and then. Based on the distribution of particles with different weights in the particle swarm, it deletes harmful particles, supplements beneficial particles, and avoids the shift of the center of the tracking particle swarm after re-sampling, so as to ensure that the target point trace does not shift. Simulation results show that, compared with other algorithms, the algorithm proposed in this paper can accurately correlate target traces and improve target accuracy when observing multiple closer targets at a long distance.
Key words :particle filter；track-before-detect；multiple target；long distance；echo signal
针对此类问题，本文提出了一种新型多雷达多目标双粒子滤波检测前跟踪算法(A New Type of Multi-radar Multi-target Tracking Before Detection Algorithm，NM-PF-TBD)，该算法在目标跟踪层中对某一目标进行跟踪时，通过传感器探测信息修正和目标跟踪粒子群修正，避免重采样后的跟踪粒子群中心偏移，从而降低了目标跟踪点迹发生偏移概率。
