Subspace-Based Self-Calibration of Mutual Coupling in Uniform and Circular Array

Abstract

To achieve the theoretical high performance, array calibration is an indispensable procedure. In this paper, a novel mutual coupling calibration algorithm is proposed for uniform and circular array (UCA). The new method uses the subspace principle to estimate the coupling coefficients, requiring none calibration sources. Conditions are provided for the existence of a solution. Computer simulations show the effectiveness and behavior of the proposed method and prove that the nice statistical properties of classical super-resolution DOA estimation algorithms can be restored despite the presence of mutual coupling.