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Performance analysis of self-calibration algorithm for Y-shaped array in the presence of mutual coupling

机译:存在互耦的Y形阵列自校准算法性能分析

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摘要

A self-calibration algorithm for Y-shaped array (SAY) is presented in the presence of mutual coupling. It utilizes special mutual coupling characteristics of Yshaped array to decouple the azimuth (AZ)/elevation (EL) and mutual coupling coefficients of antenna array so that two kinds of parameter estimations can be realized without any calibration sources. Different from conventional self-calibration algorithm based on iterative alternating minimization technique, the proposed algorithm firstly estimates DOA by searching spectrum peak, and then estimates mutual coupling coefficients so as to avoid huge computation and global convergence problem. This literature puts emphasis on the performance analysis of new proposed algorithm. Simulation results illustrate that the proposed self-calibration algorithm has the advantages of better numerical stability and less computation load. Besides, it possesses a better performance when SNR is larger than 20dB and the number of snapshots is larger than 150.
机译:在存在相互耦合的情况下,提出了一种用于Y形阵列(SAY)的自校准算法。它利用Y形阵列的特殊互耦合特性来解耦天线阵列的方位角(AZ)/高程(EL)和互耦合系数,从而无需任何校准源即可实现两种参数估计。与传统的基于迭代交替最小化的自校准算法不同,该算法首先通过搜索频谱峰值来估计DOA,然后估计互耦系数,以避免计算量大和全局收敛的问题。该文献着重于新提出算法的性能分析。仿真结果表明,所提出的自校准算法具有较好的数值稳定性和较少的计算量。此外,当SNR大于20dB且快照数量大于150时,它具有更好的性能。

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