基于稀疏阵列的米波TR MIMO雷达低空目标测高方法

基于时间反转（Time Reversal, TR）技术的米波多输入多输出（Multiple Input Multiple Output, MIMO）雷达能够有效利用反射波能量，较大地提升信噪比，但由于多径效应的存在，其采用均匀线阵信号模型时仍面临超低空目标测高精度下降以及测高误差随俯仰角变化起伏剧烈的问题。本文以降低多径效应的影响为目的，从阵列结构和算法实现两个方面出发，将稀疏阵列应用于米波TR MIMO雷达的低空目标测高。首先，本文建立了基于稀疏阵列的单基地米波TR MIMO雷达镜面反射信号模型，然后结合广义多重信号分类算法和最大似然算法，提出了适用于该模型的低空目标测高方法。最后，仿真实验表明，本文所提出的基于稀疏阵列的米波TR MIMO雷达低空目标测高方法具有更显著的结构优越性和更优的低空目标测高性能。

Low-altitude Target Height Measurement Method of Sparse Array-based Meter-wave TR MIMO Radar

? ?The time reversal （TR） technology-based meter-wave multiple input multiple output （MIMO） radar could effectively utilize the reflected wave energy to improve the signal-to-noise ratio （SNR） greatly. However， due to the existence of multipath effects， the adopted conventional uniform linear array （ULA） would face the problem of accuracy decline and severe error fluctuation with elevation angle variation of ultra-low-altitude target height measurement. In order to reduce the influence of multipath effect， from the perspectives of array structure and algorithm implementation， the sparse array is applied to low-altitude target height measurement of meter-wave TR MIMO radar in this paper. Firstly， the specular reflection signal model of monostatic meter-wave TR MIMO radar based on sparse array is established. Then， combining generalized multiple signal classification algorithm and maximum likelihood algorithm， a low-altitude target height measurement method suitable for this model is proposed. Finally， the simulations show that the proposed sparse array-based meter-wave TR MIMO radar low-altitude target height measurement method have more significant structural advantages and better low-altitude target measurement performance.