A Recursive RARE Algorithm for DOA Estimation With Unknown Mutual Coupling
A Recursive RARE Algorithm for DOA Estimation With Unknown Mutual Coupling
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DOI：
10.1109/lawp.2014.2347056
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发表时间：
2014-08
影响因子：
4.2
通讯作者：
Jisheng Dai;Xu Bao;Nan Hu;Chunqi Chang;Weichao Xu
中科院分区：
文献类型：
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作者：
Jisheng Dai;Xu Bao;Nan Hu;Chunqi Chang;Weichao Xu
阵元间的互耦效应会严重降低波达方向（DOA）估计性能。降阶方法可以在不损失阵列孔径的情况下消除互耦效应。然而，他们可能会产生严重的模糊DOA估计在某些情况下。本文提出了一种改进的RARE DOA估计算法，该算法通过递归构造RARE矩阵，克服了模糊估计问题。此外，由于利用了一个额外的互耦系数的独特结构，新方法可以得到更好的DOA估计性能。仿真结果验证了该方法的有效性。
The effect of mutual coupling between array elements is known to substantially degrade direction-of-arrival (DOA) estimation performance. Rank-reduction (RARE) methods can eliminate the mutual coupling effect without loss of array aperture. However, they might yield serious ambiguous DOA estimates in some scenarios. This letter proposes a modified RARE algorithm for DOA estimation, which overcomes the problem of ambiguous estimation by recursively building up RARE matrices. Moreover, due to the utilization of an additional unique structure of mutual coupling coefficients, the new method can give a better DOA estimation performance. Simulation results verify the efficiency of the proposed method.