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Coarray Interpolation for DOA Estimation Using Coprime EMVS Array
IEEE Signal Processing Letters ( IF 3.9 ) Pub Date : 2021-03-03 , DOI: 10.1109/lsp.2021.3061272
Mingcheng Fu , Zhi Zheng , Wen-Qin Wang , Hing Cheung So

In this letter, we develop a coarray interpolation method for direction-of-arrival (DOA) estimation using the coprime electromagnetic vector-sensor (EMVS) array. Firstly, we derive the coarray signal model of the coprime EMVS array, which can be viewed as a combination of multiple polarization components. Subsequently, we fill in zero elements in each polarization component and recover the corresponding low-rank covariance matrix by solving a nuclear norm minimization (NNM) problem. By exploiting the recovered covariance matrices, we eventually construct a larger covariance matrix to carry out DOA estimation. Numerical experiment results demonstrate the superiority of the proposed algorithm over conventional methods.

中文翻译:

使用互质EMVS阵列进行DOA估计的协同阵列插值

在这封信中,我们开发了一种使用互质电磁矢量传感器(EMVS)阵列的到达方向(DOA)估计的协同阵列插值方法。首先,我们推导了互质EMVS阵列的协阵列信号模型,该模型可被视为多个极化分量的组合。随后,我们在每个极化分量中填充零元素,并通过解决核规范最小化(NNM)问题来恢复相应的低秩协方差矩阵。通过利用恢复的协方差矩阵,我们最终构造了一个更大的协方差矩阵来进行DOA估计。数值实验结果证明了该算法优于传统算法的优越性。
更新日期:2021-03-23
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