联合校正源空域信息和时域波形信息的乘性阵列误差校正方法

摘要

针对乘性阵列误差(包括幅相误差和互耦)的校正问题,该文依据最大似然准则,提出联合校正源空域信息和时域波形信息的误差校正方法,该方法通过“嵌入式”Newton迭代以及交替迭代实现乘性阵列误差参数的数值优化,具有较快的收敛速度和较高的数值稳健性.此外,文中分别在校正源时域波形信息未知和已知这两种情况下推导乘性阵列误差参数的克拉美罗界.仿真实验验证文中新算法的优越性.%Aiming at the multiplicative array errors calibration problem, a novel maximum likelihood (ML) array errors estimator by using the spatial-domain information and time-domain waveform information of the calibration sources is presented in (his paper. The proposed calibration method is implemented via concentrated Newton iteration and alternative iteration with fast convergence ratio and high numerical robustness.Furthermore,the Cramer-Rao bound (CRB) of the array errors parameters is derived in the two cases: one where the time-domain waveform information of the calibration source is unknown; and the other where the time-domain waveform information of the calibration source is known up to a complex factor. The simulation experiments validate the superiority of the novel algorithms.