摘要
目标位置监测是无线电领域的重要研究方向之一,而位置测量通常依赖于方位的测量,因此实时提高方位测量精度有着重要的意义。基于卡尔曼滤波思想提出时域的方位滤波流程,通过合理构建机载方位测量系统的工作场景和滤波模型,将扩展卡尔曼滤波(Extended Kalman Filter,EKF)和无迹卡尔曼滤波(Unscented Kalman Filter,UKF)算法应用于目标方位的误差修正。方位实时滤波仿真结果表明,滤波后方位测量精度得到较大改善,其中无迹卡尔曼滤波算法滤波效果略优于扩展卡尔曼滤波算法。本方位滤波流程可实现目标方位的在线实时滤波,流程简单高效,具有较强的通用性。
One of the important research directions in the radio field is target location monitoring.It often depends on the measurement of azimuth.Therefor,the accuracy of azimuth measurement improved in real time has great significance.Based on the idea of Kalman filter,the azimuth filtering process in time domain is proposed.The working scene and filtering model of airborne azimuth measurement system are reasonably constructed.Extended Kalman filter(EKF)and unscented Kalman filter(UKF)algorithm are applied to the error correction of target azimuth.The azimuth filtering simulation is performed.Simulation results show that the azimuth measurement accuracy is improved after filtering.The filtering effect of UKF is slightly better than that of EKF.Consequently,the online real-time filtering of target azimuth can be realized through the filtering process.It is simple and efficient,and has strong universality.
作者
潘定平
朱宇锋
PAN Dingping;ZHU Yufeng(No.36 Research Institute of China Electronics Technology Group Corporation,Jiaxing 314033,China)
出处
《电子信息对抗技术》
北大核心
2023年第3期32-38,共7页
Electronic Information Warfare Technology
关键词
方位精度
误差修正
扩展卡尔曼滤波
无迹卡尔曼滤波
角度变化率
azimuth accuracy
error correction
extended Kalman filter
unscented Kalman filter
azimuth changing rate
