TR MIMO雷达低空目标DOA估计算法

为解决雷达对低空目标角度估计精度不高的问题,提出一种基于时间反转(TR)多输入多输出(MIMO)雷达的低空目标波达方向估计算法。该算法先利用TR技术的聚焦性能,获得回波信号矩阵;然后根据MIMO雷达波形的分集特性,推导出TR MIMO雷达的虚拟阵列形式;再通过行列复用,采用双向空间平滑(FBSS)算法解相干,有效地提高了低空目标的DOA估计精度。实验仿真结果表明:在信噪比为-10dB的条件下,该算法比传统MIMO雷达DOA估计算法的均方根误差平均减少了0.3°。

DOA Estimation Algorithm of TR MIMO Radar under Low Altitude

To solve the problem of too large angle estimation error for radar under low altitude condition, a DOA estimation algorithm for low altitude target based on TR MIMO radar is proposed. Firstly, The focusing performance of TR technology is used in the proposed algorithm, obtaining the echo signal matrix. According to the waveform diversity of MIMO radar, The virtual subarrays of TR MIMO radar is deduced. Then, we perform rows and columns reuse and apply FBSS algorithm to remove the coherence, effectively improving the DOA estimation accuracy for low altitude target. The simulation results verify the validity of the method. The simulation results show that the RMSE of the proposed algorithm is reduced by an average of 0.3 degree compared with the conventional MIMO radar when the SNR is -10 dB.