基于优化遗传重采样的辅助粒子滤波检测前跟踪方法  

Auxiliary Particle Filter Track-Before-Detect Based on Optimized Genetic Re-sampling

作　　者：张春景 柳晓鸣 ZHANG Chunjing;LIU Xiaoming(Dalian Maritime University,Dalian 116000,China)

机构地区：[1]大连海事大学,辽宁大连116000

出　　处：《电光与控制》2022年第1期23-27,共5页Electronics Optics & Control

摘　　要：针对由于粒子匮乏辅助粒子滤波检测前跟踪(APF-TBD)无法获得较好的检测和跟踪性能的问题,提出了一种基于优化遗传重采样的辅助粒子滤波检测前跟踪(OGRAPF-TBD)方法。在APF-TBD的重采样中应用优化后的遗传重采样算法,在重采样中根据权重选择优质粒子,通过排序分组交叉和变异操作得到新粒子。该方法不仅能保留APF-TBD通过优化重要性分布函数提高采样粒子准确性的优势,而且将优化后的遗传重采样思想引入重采样还能有效地解决粒子匮乏问题,增加有效粒子数目。仿真结果表明,相较于APF-TBD方法和粒子滤波检测前跟踪(PF-TBD)方法,OGRAPF-TBD方法具有更高的目标发现概率和跟踪精度,以及更强的适用性。Regarding the problem that the Auxiliary Particle Filter Track-Before-Detect(APF-TBD)can not achieve good detection and tracking performance due to the lack of particles,an auxiliary particle filter track-before-detect based on optimized genetic re-sampling(OGRAPF-TBD)method is proposed.The optimized genetic re-sampling algorithm is applied in re-sampling of APF-TBD.In the re-sampling,high quality particles are chosen according to the weight,and new particles are obtained by crossover of sorting groups and mutation.The method not only maintains the advantage of APF-TBD in improving the accuracy of sampling particles by optimizing the importance distribution function,but also introduces the optimized genetic re-sampling idea into re-sampling,which can effectively solve the problem of particle shortage and increase the number of effective particles.Simulation results show that:compared with APF-TBD and particle filter track-before-detect,OGRAPF-TBD has higher target detection probability and tracking accuracy,and stronger applicability.

关 键 词：检测前跟踪 粒子滤波 遗传算法 重要性密度函数 重采样 

分 类 号：TN713[电子电信—电路与系统]