抑制校正源方位偏差的阵列误差矩阵鲁棒校正算法

Robust array error matrix calibration algorithm against the azimuth derivation of the calibration sources

针对校正源方位扰动误差会影响阵列误差矩阵校正精度这一问题,提出了一种可以自行抑制校正源方位扰动误差的鲁棒阵列误差矩阵校正算法。在假设校正源方位扰动误差较小的情况下,通过一阶Taylor级数展开的方式,建立了一种关于阵列误差矩阵的结构总体最小二乘优化模型用以抑制校正源方位扰动误差的影响,基于该优化模型,设计出一种数值优化算法用以实现阵列误差矩阵的鲁棒校正。数值实验验证了文中新算法的有效性和优越性。

The azimuth deviations of the calibration sources would significantly degrade the estimation accu racy of the array error matrix. Aiming to solve this problem, a robust array error matrix calibration algorithm against the location deviations is proposed. Using the first-order Taylor expansion, the structured total least square （STLS） optimization model used for restraining the azimuth deviations is established when the direction deviations are assumed to be small. Based on the STLS model, the numerical optimization algorithm is presen ted to implement the robust errors calibration. The simulation experiments validate the effectiveness and advan tages of the algorithm.