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A Novel Method for 2-D DOA Estimation Using L-shaped Array in the Presence of Mutual Coupling

机译:在相互耦合存在下使用L形阵列的二维DOA估计的新方法

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In this paper, a novel self-calibration algorithm is proposed for two-dimensional (2-D) direction-of-arrival (DOA) estimation based on L-shaped array (LSA) with mutual coupling. In this method, we construct a transformation matrix to eliminate the mutual coupling between subarrays, and then the DOA estimation problem of LSA is transformed into that of uniform linear arrays (ULAs). Then we only need to consider the mutual coupling in each subarray and use the rank-reduction (RARE) method to estimate DOAs. In contrast to other methods, the proposed approach not only solves the mutual coupling problem, but also estimates the mutual coupling coefficients. The simulation results show that the proposed approach has better DOA estimation performance under unknown mutual coupling.
机译:本文基于L形阵列(LSA)的二维(2-D)到达(DOA)估计,提出了一种新的自校准算法,其具有相互耦合的L形阵列(LSA)。在该方法中,我们构建变换矩阵以消除子阵列之间的相互耦合,然后将LSA的DOA估计问题转换为均匀线性阵列(ULAS)。然后,我们只需要考虑每个子阵段中的相互耦合,并使用秩减少(罕见)方法来估计DOA。与其他方法相比,所提出的方法不仅解决了相互耦合问题,而且估计了相互耦合系数。仿真结果表明,该方法在未知的相互耦合下具有更好的DOA估计性能。

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