Joint sparsity-inducing DOA estimation for strictly noncircular sources with unknown mutual coupling

Liangliang Li, Dan Luo, G. Bi, Xianpeng Wang, Dandan Meng
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引用次数: 1

Abstract

In this paper, a joint sparsity-inducing DOA estimation method is proposed for strictly noncircular sources with unknown mutual coupling. In the proposed method, two block-sparse recovery models are firstly formulated via parameterizing the steering vector without losing the array aperture. Then, taking the noncircularity of sources into account, a joint sparsity-inducing framework combined with reweighted l1 - norm optimization is constructed to estimate DOA, where the weighted matrix is structured by the noncircular MUSIC-like (NC MUSIC-like) spectrum function to strengthen the sparsity. Finally, DOA estimation can be realized via screening the position of nonzero blocks of the recovered block sparse matrix. Some simulations are implemented to demonstrate that the proposed method shows the effectiveness and superiority with unknown mutual coupling.
具有未知相互耦合的严格非圆源的联合稀疏诱导DOA估计
针对相互耦合未知的严格非圆源,提出了一种联合稀疏诱导DOA估计方法。该方法在不丢失阵列孔径的前提下,通过参数化导向矢量,建立了两个块稀疏恢复模型;然后,考虑信源的非圆性,构建了联合稀疏性诱导框架,结合重新加权l1范数优化来估计DOA,其中加权矩阵采用非圆MUSIC-like (NC MUSIC-like)谱函数来增强稀疏性。最后,通过筛选恢复块稀疏矩阵的非零块的位置来实现DOA估计。仿真结果表明,该方法在相互耦合未知的情况下具有良好的有效性和优越性。
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