Abstract: Since the Particle Filter-based Track-Before-Detect (PF TBD) is subject to severe sample impoverishment, the fission reproduction PF TBD algorithm was proposed. To incorporate TBD problem, the particles were divided into three types according to an existence variable which indicates the presence/absence of a target in the data. Three types of particles were death, birth and survival, respectively, and the survival particles were processed by the fission reproduction. The process increases the diversity of particles, and overcomes sample impoverishment. The simulation results demonstrate that, compared to the PF TBD, the proposed algorithm can provide stable and reliable detection as well as accurate tracking.

Key words: fission reproduction, particle filter, track-before-detect, sample impoverishment, weak target

摘要： 针对粒子滤波检测前跟踪(PF TBD)算法存在采样枯竭现象的缺点，提出基于裂变繁殖粒子滤波的检测前跟踪算法。该算法结合检测前跟踪问题的特点，根据代表目标有无的存在变量将粒子分为死亡、新出生和继续存活三类粒子集，其中对继续存活的粒子集进行裂变繁殖操作。裂变繁殖操作增加了粒子的多样性，有效克服了采样枯竭现象。仿真实验验证了所提算法检测性能稳定可靠，跟踪精度高。

关键词: 裂变繁殖, 粒子滤波, 检测前跟踪, 采样枯竭, 微弱目标