Abstract:

The azimuth deviations of the calibration sources would significantly degrade the estimation accuracy 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 presented to implement the robust errors calibration. The simulation experiments validate the effectiveness and advantages of the algorithm.