阵元失效条件下MIMO雷达成像方法研究

The Method of MIMO Radar Target Imaging Under Condition of Failed Array Elements

为了提高天线阵元失效条件下非均匀采样MIMO雷达的成像性能,提出了一种基于失效阵元丢失数据重构的MIMO雷达成像方法。该方法先对失效阵元丢失的数据上叠加幅度微小的随机扰动量,利用矩阵填充技术恢复成均匀采样整体数据,并采用迭代加权lq方法获得低精度的目标场景向量估计值,然后根据该目标场景向量估计值和感知矩阵重构出失效阵元所丢失的回波数据,最后利用矩阵填充和迭代加权lq方法以获得更接近最佳稀疏度的目标场景向量估计值。仿真结果表明,该方法能有效降低天线阵元失效情况下MIMO雷达的目标场景向量估计误差,提高目标的三维成像质量。

To improve the performance of the non-uniform MIMO radar imaging under condition of failed antenna array elements, a MIMO radar imaging method based on the lost data reconstruction of the failed array elements is proposed. A slight random perturbation is added to the lost echo data of the failed ar- ray elements. Then the processed echo of MIMO radar can be recovered into uniform sampling data by ma- trix completion method. Thus the low accuracy estimation of target scene vector is estimated by the iterative weighted lq minimization algorithm. By using the low accuracy estimation of target scene vector and sensing matrix, the lost data of failed array elements can be successfully reconstructed. Finally, the estimation of target scene vector with the best sparsity could be achieved by reusing matrix completion and iterative weigh- ted lq minimization. Simulation results demonstrate the proposed method can effectively reduce estimation error of target scene vector under condition of failed antenna array elements and improve the quality of the three dimensional imaging of MIMO radar.