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。
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.
出处
《计算机应用》
CSCD
北大核心
2011年第9期2581-2583,2592,共4页
journal of Computer Applications
关键词
裂变繁殖
粒子滤波
检测前跟踪
采样枯竭
微弱目标
fission reproduction
particle filter
track-before-detect
sample impoverishment
weak target