关键词: 交叉偶极子阵列, 信源波达角度估计, 极化参数估计, 阵列互耦参数估计, 矢量均匀矩形阵列

Abstract:

To reduce the impact of mutual coupling effects in vector arrays on the performance of direction of arrival （DOA） estimation, a unambiguous mutual coupling self-calibration algorithm for vector arrays based on dimension-reduction multiple signal classification （MUSIC） is proposed. Through a comprehensive consideration of both intra-element and inter-element mutual coupling, firstly, based on the concept of parameter separation, the problem of signal source DOA estimation is transformed into a constrained minimization problem of a dimension-reduction MUSIC pseudo-spectrum function, yielding the DOA estimation results. Subsequently, the polarization parameters of signal sources and the mutual coupling coefficients of the array are estimated through polarization pseudo-spectrum searching and the solution of a modulus-constrained Rayleigh entropy problem. The simulation results demonstrate that the proposed algorithm addresses the failure of existing algorithms under complex mutual coupling effects, enabling effective and reliable high-precision estimations of signal source DOA, polarization parameters, and array mutual coupling coefficients.

Key words: cross-dipole array, direction of arrival estimation of signal sources, polarization parameter estimation, array mutual coupling parameter estimation, uniform rectangular vector array