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A Self-calibration algorithm for concentric-UCA in the presence of mutual coupling

机译:存在相互耦合时同心UCA的自校准算法

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A self-calibration algorithm for concentric uniform circular arrays (C-UCA) in the presence of mutual coupling is presented. The proposed algorithm can simultaneously estimate the directions of arrival (DOA) of signal sources and coupling coefficients of antenna array with a calibration source. It not only can calibrate the mutual coupling of the inner subarrays, but also can compensate for the mutual coupling between sub-arrays. Compared with conventional self-calibration algorithm based on iterative alternating minimization technique, the proposed algorithm transforms joint estimation about DOA and mutual coupling coefficients into cascaded estimation, which means that the parameters can be obtained by one dimensional spectrum peak search. The proposed self-calibration algorithm has high estimation precision and low computational burden. Simulation results show the effectiveness of the presented method.
机译:提出了一种存在互耦的同心圆阵列(C-UCA)的自校准算法。所提出的算法可以同时估计信号源的到达方向(DOA)以及天线阵列与校准源的耦合系数。它不仅可以校准内部子阵列的相互耦合,而且可以补偿子阵列之间的相互耦合。与传统的基于迭代交替最小化的自校准算法相比,该算法将DOA和互耦系数的联合估计转换为级联估计,这意味着可以通过一维谱峰搜索获得参数。提出的自校准算法具有较高的估计精度和较低的计算负担。仿真结果表明了该方法的有效性。

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