数据丢包环境下的多传感器协同跟踪策略研究  

Research on multi-sensor cooperative tracking strategy in data packet loss environment

作　　者：高晓光[1,2] 李飞 万开方[1,2] GAO Xiaoguang;LI Fei;WAN Kaifang(School of Electronics and Information,Northwestern Polytechnical University,Xi’an 710129,China;Key Laboratory of electronic information Control,Chengdu 601136,China)

机构地区：[1]西北工业大学电子信息学院,陕西西安710129 [2]电子信息控制重点实验室,四川成都610036

出　　处：《系统工程与电子技术》2018年第11期2450-2458,共9页Systems Engineering and Electronics

基　　金：国家自然科学基金(61305133;61573285);电子信息控制重点实验室基金(2017KD080154)资助课题

摘　　要：针对实际作战中的复杂电磁环境,研究了数据丢包环境下的多传感器协同跟踪问题。首先分析了数据丢包的几种不同情况,分别建立了数据丢包模型,并针对不同的丢包模型提出了相应的补偿策略;然后建立了数据丢包环境下目标观测模型,推导了数据丢包环境下序贯扩展卡尔曼滤波算法;最后基于信息熵理论建立了数据丢包环境下的多传感器多目标跟踪优化模型,给出了离散粒子群求解算法。仿真结果表明,所提的丢包补偿策略具有良好的补偿效果,可以有效抑制数据丢包造成的滤波数据发散,保证目标跟踪精度。The problem of multi-sensor cooperative tracking in data packet dropout is studied.Firstly,the data packet loss model is established,and the corresponding compensation strategy is put forward.Then,the target observation model is established.Finally,the algorithm of multi-sensor multi-target tracking based on the information entropy theory is presented.The algorithm based on discrete particle swarm optimization is presented,too.The simulation results show that the proposed method has good compensation effect and can effectively suppress the data packet loss caused by filtering data divergence and ensure the target tracking accuracy.

关 键 词：离散粒子群 数据丢包 丢包补偿 多传感器管理 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]