Performance analysis of self-calibration algorithm for concentric-UCA

Chen Hui, Zheng Bao
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引用次数: 2

Abstract

A new decoupling algorithm is proposed to estimate DOA of concentric uniform circular arrays (C-UCA). The new algorithm can calibrates mutual coupling of the inner sub-arrays, compensate for mutual coupling between sub-arrays, and then estimate DOA of signal sources. This algorithm transforms joint problem into cascade problem and gets the parameters by one dimension spectrum peak value searching, which avoids multidimensional nonlinear searching of multi-parameters joint estimation. The simulation and theoretic analysis validate the good performance of the proposed algorithm.
同心uca自标定算法的性能分析
提出了一种新的解耦算法来估计同心均匀圆阵列(C-UCA)的方位。该算法可以对内部子阵列的互耦进行校正,对子阵列之间的互耦进行补偿,进而估计信号源的DOA。该算法将联合问题转化为级联问题,通过一维谱峰值搜索得到参数,避免了多参数联合估计的多维非线性搜索。仿真和理论分析验证了该算法的良好性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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