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Sparsity-Aware DOA Estimation Scheme for Noncircular Source in MIMO Radar

机译:MIMO雷达非圆形源的稀疏感知DOA估计方案

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摘要

In this paper, a novel sparsity-aware direction of arrival (DOA) estimation scheme for a noncircular source is proposed in multiple-input multiple-output (MIMO) radar. In the proposed method, the reduced-dimensional transformation technique is adopted to eliminate the redundant elements. Then, exploiting the noncircularity of signals, a joint sparsity-aware scheme based on the reweighted l1 norm penalty is formulated for DOA estimation, in which the diagonal elements of the weight matrix are the coefficients of the noncircular MUSIC-like (NC MUSIC-like) spectrum. Compared to the existing l1 norm penalty-based methods, the proposed scheme provides higher angular resolution and better DOA estimation performance. Results from numerical experiments are used to show the effectiveness of our proposed method.
机译:本文提出了一种在多输入多输出(MIMO)雷达中用于非圆形源的稀疏感知到达方向(DOA)估计方案。在该方法中,采用了降维变换技术来消除冗余元素。然后,利用信号的非圆形性,基于重加权的l1范数惩罚,提出了一种联合稀疏感知方案进行DOA估计,其中权重矩阵的对角线元素是非圆形MUSIC的系数(类似于NC MUSIC的系数) )频谱。与现有的基于l1规范惩罚的方法相比,该方案提供了更高的角度分辨率和更好的DOA估计性能。数值实验结果表明了该方法的有效性。

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