多径条件下的乘性阵列误差有源校正算法
摘要
Aiming at the problem of multipath propagation of the calibration source, the multiplicative array error (referring to gain-and-phase error or mutual coupling) calibration algorithms in the presence of multipath propagation are presented. The array is rotated to different locations in order to receive the calibration signal from a far-field and constant waveform source. Based on the received data, the optimization model with respect to array error parameters, multipath propagation azimuths, and complex attenuation coefficients is constructed according to the maximum likelihood (ML) criterion. The concentrated Newton iteration algorithm is derived to solve the optimization model. Furthermore, Cramér-Rao bound (CRB) for unknown parameters is presented. Simulation experiments validate the effectiveness of the proposed algorithms and demonstrate that the asymptotic performance of the novel algorithms can reach the corresponding CRB.