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首页> 外文期刊>IEEE Transactions on Aerospace and Electronic Systems >Compensation for the mutual coupling effect in uniform circular arrays for 2D DOA estimations employing the maximum likelihood technique
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Compensation for the mutual coupling effect in uniform circular arrays for 2D DOA estimations employing the maximum likelihood technique

机译：使用最大似然技术补偿均匀圆形阵列中二维DOA估计的互耦效应

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摘要

An effective compensation method for the mutual coupling effect in uniform circular arrays (UCAs) employed for two-dimensional (2D) direction-of-arrival (DOA) estimations is introduced. A new 2D DOA searching algorithm using the maximum likelihood technique optimized by the emperor selective genetic algorithm (ML-EMSGA) is introduced for use with UCAs. This method circumvents the difficulty of dealing with coherent signals in 2D DOA estimations. ML-EMSGA is less computationally demanding than the maximum likelihood method (MLM) and statistically more efficient. Our study shows that ML-EMSGA can be effectively combined with the proposed compensation method, which is based on the introduction of a new mutual impedance, to give very accurate and robust 2D DOA estimation results. The structure of mutual impedance matrix for UCAs under the compensation method is fully explained. The theory of the ML-EMSGA for the UCAs is formulated. Computer simulation examples on several synthetic scenarios are presented to demonstrate the effectiveness of the mutual coupling compensation method and the superior performance of the ML-EMSGA for UCAs.
机译：介绍了一种有效的补偿方法，该补偿方法用于二维（2D）到达方向（DOA）估计的均匀圆形阵列（UCA）中的互耦效应。引入了一种新的二维DOA搜索算法，该算法使用通过皇帝选择性遗传算法（ML-EMSGA）优化的最大似然技术与UCA结合使用。该方法避免了在2D DOA估计中处理相干信号的困难。 ML-EMSGA在计算上比最大似然法（MLM）少，并且在统计上效率更高。我们的研究表明，ML-EMSGA可以有效地与所提出的补偿方法相结合，该补偿方法基于引入新的互阻抗而得出非常准确和可靠的2D DOA估计结果。完整解释了补偿方法下UCA的互阻抗矩阵的结构。阐述了用于UCA的ML-EMSGA的理论。给出了几种综合方案的计算机仿真示例，以证明互耦补偿方法的有效性以及ML-EMSGA对于UCA的优越性能。

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