基于改进粒子滤波的微弱目标检测前跟踪算法  

Improved track-before-detect algorithm for weak targets based on particle filter

作　　者：吴孙勇[1,2] 廖桂生[1] 杨志伟[1] 李彩彩[1] 

机构地区：[1]西安电子科技大学雷达信号处理国家重点实验室,陕西西安710071 [2]桂林电子科技大学数学与计算科学学院,广西桂林541004

出　　处：《系统工程与电子技术》2010年第9期1875-1879,共5页Systems Engineering and Electronics

基　　金：国家杰出青年科学基金(60825104);国家自然科学基金重点项目(60736009);国家自然科学基金(60901066)资助课题

摘　　要：研究高速微弱目标的积累检测问题,提出了一种改进粒子滤波的检测前跟踪算法。该算法采用与雷达距离-多普勒图像相匹配的量测数据模型,能克服传统点扩散函数的模型误差。采用"新生"粒子从强度最高的分辨单元集内均匀产生,且按概率对权重最低的部分"存活"粒子用"新生"粒子将其替换的粒子更新策略,在增加粒子多样性的同时缓解了粒子的退化。仿真实验表明,本文算法的检测与跟踪性能要优于标准的粒子滤波算法。An improved track-before-detect（TBD） algorithm based on the particle filter is proposed for high-speed weak target detection.This method uses a unique measurement model for radar range-Doppler compression,which can effectively reduce the model error of the traditional sensor point spread function.An updating strategy is proposed that newborn particles are uniformly distributed within the set with high-intensity bins and that the existing particles with low weights are replaced by new particles with probability.This strategy can improve the diversity among the particles and mitigate the effects of degeneracy.Simulation results show that the proposed algorithm has an improved performance of detecting and tracking dim targets compared with the standard particle filter.

关 键 词：检测前跟踪 粒子滤波 微弱目标 相干积累 

分 类 号：TN957.52[电子电信—信号与信息处理]