一种阵列互耦矩阵与波达方向的级联估计方法
doi: 10.3724/SP.J.1146.2013.01330
Cascade Estimation Method of Mutual Coupling Matrix and Direction of Arrival
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摘要: 当阵列天线存在互耦效应时，传统多重信号分类(MUltiple SIgnal Classification, MUSIC)算法的测向性能急剧下降。为了有效估计阵列互耦矩阵(MCM)与入射信号的波达方向(Direction Of Arrival, DOA)，该文提出一种阵列互耦矩阵与波达方向的级联估计方法。利用互耦矩阵的结构特点，变换阵列流形，实现对互耦矩阵与DOA的解耦合。求解线性约束下的二次优化问题，利用谱峰搜索，得到阵列互耦矩阵和入射信号DOA，完成互耦误差自校正。通过计算机仿真验证了该文方法估计性能的有效性和优越性。Abstract: The performance of direction finding of traditional MUltiple SIgnal Classification (MUSIC) method decreases sharply in the presence of sensor mutual coupling. In order to estimate effectively Mutual Coupling Matrix (MCM) of array and Direction Of Arrival (DOA) of incident signals, a cascade estimation method of MCM combined with DOA is proposed. Based on the structural features of MCM, DOA and MCM are decoupled by converting array manifold. By solving a quadratic optimization problem under the linear constraint and utilizing peak search technology to obtain DOA and MCM, the mutual coupling errors can be self-calibrated. The effectiveness and superiority of the proposed algorithm are verified by the computational simulation results.
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