中圖分類號： TN95 文獻標識碼： A DOI：10.16157/j.issn.0258-7998.200585 中文引用格式： 潘凱，陳霄. 一種新型多雷達多目標粒子濾波檢測前跟蹤算法[J].電子技術應用，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
針對此類問題，本文提出了一種新型多雷達多目標雙粒子濾波檢測前跟蹤算法(A New Type of Multi-radar Multi-target Tracking Before Detection Algorithm，NM-PF-TBD)，該算法在目標跟蹤層中對某一目標進行跟蹤時，通過傳感器探測信息修正和目標跟蹤粒子群修正，避免重采樣后的跟蹤粒子群中心偏移，從而降低了目標跟蹤點跡發生偏移概率。
