分布式雷达超分辨成像的MUSIC方法

摘要

多重信号分类(MUSIC)方法已在单基地雷达的超分辨成像中得到较广泛的研究,然而将该方法直接应用到双/多基地形式的分布式雷达超分辨成像上,则会面临收发分置带来的散射信息解相关和波数相位分解等问题.为此利用三维空间平滑和双重线性插值对MUSIC方法进行了改进,给出了分布式雷达超分辨成像的最小信噪比显式表达及其快速计算公式,并据此分析了超分辨成像性能.仿真结果验证了这种基于收发分置形式的MUSIC超分辨成像方法的有效性.%Although the MUSIC algorithm has been widely researched in monostatic radar imaging, it will face problems of scattering information decoupling and the wavenumber phase decomposition when directly applied to distributed bistatic (or multistatic) radar. Three-dimensional spatial smoothing and double-linear interpolation were given to improve the MUSIC algorithm, and then the minimum SNR for super resolution imaging and its fast calculation formula were derived in this radar to analyze the super resolution imaging performance. The efficiency of the MUSIC super resolution imaging based on distributed (or multistatic) radar is confirmed in the simulation.