摘要
针对相控阵雷达目标跟踪的数据更新概率不高且更新时间较长的问题,提出基于概率模型的波束位置优化控制方法,以期实现期望时间最小化时雷达波束的控制:假设雷达测量目标距离与角度信息的误差服从高斯分布,且坐标变换不影响误差的高斯分布属性,则目标位置概率分布的预测可以利用跟踪算法的交互多模型卡尔曼滤波得到。仿真结果表明该方法有助于相控阵雷达更高效地完成跟踪目标的位置更新,可为提升雷达多目标跟踪能力以及时间资源利用率的相关研究提供参考。
Aiming at the problems that the update efficiency of the target tracking data of electronically-scanned array(ESA)radar is low and the update time is long,the paper proposed the method of beam position optimization control based on a probability model for accomplishing the control at the minimum expected time:it was supposed that the errors of the target’s distance and angle measured by radar obey Gaussian distribution,and the Gaussian distribution attributes of the errors not be affected in the coordinate transformation,so the prediction of the probability distribution of target’s position was gained through the tracking algorithm of interactive multiple model Kalman filter.Simulational result showed that the proposed method could help fulfill the location update of tracking target efficiently,which would provide a reference for promoting the ability of multi-target tracking and the efficiency of time resource using for radars.
作者
王楠
许蕴山
夏海宝
邓有为
WANG Nan;XU Yunshan;XIA Haibao;DENG Youwei(Air Force Engineering University,Xi'an 710038,China)
出处
《导航定位学报》
CSCD
2019年第1期48-53,共6页
Journal of Navigation and Positioning
关键词
相控阵雷达
跟踪波束控制
概率模型
交互多模型卡尔曼滤波
electronically-scanned array radar
tracking beam control
probability model
interactive multiple model Kalman filter
