一种基于无人机平台的动态方位优化定位算法研究

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中图分类号： TN95 文献标志码： A

Dynamic orientation optimization localization algorithm for unmannedaerialvehicleplatforms

JIN Jinbo，XU Lu，CHEN Xu，ZHANG Yijia （Zhejiang Sci-Tech University School of Information Science and Engineering（School of Cyber Science and Technology），Hangzhou 3lOol8，Zhejiang，China）

Abstract：A monostatic passive cross-location method based on an unmanned aerial vehicle （UAV） platform is proposed，which obtains the direction information of the radiation source through the UAV's circumnavigation trajectory and uses a location algorithm to achieve precise positioning. The MUSIC algorithm is employed for direction finding，andan improved filtering algorithm is designed.The least squares method combined with iterative optimization is adopted to gradually approach the target position through error correction，realizing high-precision location.The influence of direction-finding angle error on location accuracy is investigated，and the Monte Carlo simulation is conducted to verify the proposed method.Finally，the effectiveness of the algorithm isvalidated through experimental circumnavigation tests. The results show that the location accuracy of the proposed algorithm can reach 2O meters within a detection range of 1km ：

Key words：monostatic passive cross-location； improved filtering algorithm；least squares meth od and iterative optimization

0 引言

无源侦察作为电子对抗的重要领域，在工作过程中无需向探测目标发射侦察信号，实现了电子隐蔽侦察。（剩余8588字）