Covariance sparsity-aware DOA estimation for nonuniform noise
Covariance sparsity-aware DOA estimation for nonuniform noise
复制标题
非均匀噪声的协方差稀疏感知 DOA 估计
DOI：
10.1016/j.dsp.2014.02.013
复制
发表时间：
2014-05-01
影响因子：
2.9
通讯作者：
Huang, Lei
中科院分区：
文献类型：
--
作者：
He, Zhen-Qing;Shi, Zhi-Ping;Huang, Lei
本文通过利用阵列协方差向量的稀疏表示，重新阐述了未知非均匀噪声的到达方向（DOA）估计问题。在所提出的协方差稀疏感知DOA估计器中，可以通过线性变换消除未知噪声方差，并且DOA估计被简化为具有非负性约束的稀疏重建问题。所提出的方法不仅获得了自由度增加的扩展孔径阵列，使我们能够处理比传感器更多的源，而且还提供了性能和针对非均匀噪声的鲁棒性的优越性。不同条件下的数值例子证明了该方法的有效性。 (C) 2014 Elsevier Inc. 保留所有权利。
This paper reformulates the problem of direction-of-arrival (DOA) estimation for unknown nonuniform noise by exploiting a sparse representation of the array covariance vectors. In the proposed covariance sparsity-aware DOA estimator, the unknown noise variances can be eliminated by a linear transformation, and DOA estimation is reduced to a sparse reconstruction problem with nonnegativity constraint. The proposed method not only obtains an extended-aperture array with increased degrees of freedom which enables us to handle more sources than sensors, but also provides superiority in performance and robustness against nonuniform noise. Numerical examples under different conditions demonstrate the effectiveness of the proposed method. (C) 2014 Elsevier Inc. All rights reserved.