考虑地球曲率的三维目标APBR跟踪算法  

APBR Tracking Algorithm for 3D Targets Considering the Curvature of the Earth

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作  者:袁继成 郭云飞[1] 钱文杲 YUAN Ji-cheng;GUO Yun-fei;QIAN Wen-gao(Institute of Information and Control,Hangzhou Dianzi University,Hangzhou 310018,China)

机构地区:[1]杭州电子科技大学信息与控制研究所,杭州310018

出  处:《火力与指挥控制》2021年第7期45-51,共7页Fire Control & Command Control

基  金:浙江省自然科学基金资助项目(LZ20F010002)。

摘  要:针对机载被动双基站雷达(Airborne Passive Bistatic Radar,APBR)三维目标跟踪问题,提出一种杂波环境下考虑地球曲率的航迹起始与目标跟踪算法。在地心地固坐标系中建立包含地球曲率的目标运动模型和测量模型。利用多帧测量构建对数似然比函数,并通过遗传算法求解最优值,获得目标的三维状态初值。最后,利用概率数据关联结合扩展卡尔曼算法对杂波环境下的目标进行状态估计。仿真结果表明,所提方法比不考虑地球曲率的方法能获得更好的估计性能。Aiming at the three-dimensional target tracking problem of Airborne Passive Bistatic Radar(APBR),a track initialization and target tracking algorithm considering the curvature of the earth under strong clutter is proposed.Firstly,the target motion model and the measurement model including the curvature of the earth are established in the earth-center earth-fixed coordinate system.Secondly,the log-likelihood ratio function is constructed by multi-frame measurement,and the optimal value is solved by genetic algorithm to obtain the initial value of the target’s three-dimensional state.Finally,probabilistic data association and extended Kalman algorithm are used to estimate the state of the targets in the clutter environment.The simulation results show that the proposed method can obtain better estimation performance than the methods without considering the curvature of the earth.

关 键 词:三维跟踪 机载被动双基站雷达 地球曲率 极大似然估计 

分 类 号:TN953[电子电信—信号与信息处理]

 

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