基于相互耦合的均匀矩形阵的二维方位估计

Mustafa Çalişkan, T. E. Tuncer
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引用次数: 0

摘要

本文讨论了在相互耦合情况下均匀矩形阵列(URA)的方位角和仰角联合估计问题。用估计的到达角估计了相互耦合系数。利用这些耦合系数估计,进行了到达角方向的二维精细搜索。通过蒙特卡罗实验表明,与不使用耦合系数数值的初始估计相比,改进后的角度估计更准确。采用[1]中提出的算法,减少了二维频谱搜索的计算量,消除了传感器之间相互耦合的负面影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Two dimensional DOA estimation using uniform rectangular array with mutual coupling
In this study, joint estimation of azimuth and elevation angles with uniform rectangular array(URA) in the presence of mutual coupling is discussed. Mutual coupling coefficients are also estimated with the estimated arrival angles. By using these coupling coefficient estimates, two dimensional refined search of direction of arrival angles(DOA) is done. Several Monte Carlo experiments are performed and it is observed that the refined angle estimates are more accurate compared to the initial estimates which do not use the coupling coefficient numerical values. By applying the algorithm proposed in [1], the computational load of two dimensional spectrum search is reduced and the negative effect of mutual coupling between the sensors is eliminated.
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