Direction-of-arrival estimation for coherent signals through covariance-based grid free compressive sensing

Yahao Zhang; Yixin Yang; Long Yang; Yong Wang

doi:10.1121/10.0006389

Direction-of-arrival estimation for coherent signals through covariance-based grid free compressive sensing

JASA Express Lett. 2021 Sep;1(9):094801. doi: 10.1121/10.0006389.

Authors

Yahao Zhang¹, Yixin Yang¹, Long Yang¹, Yong Wang¹

Affiliation

¹ School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, Shaanxi 710072, Chinayahaozhang@mail.nwpu.edu.cn, yxyang@nwpu.edu.cn, lyang@nwpu.edu.cn, yongwang@nwpu.edu.cn.

PMID: 36154210
DOI: 10.1121/10.0006389

Abstract

This letter solves direction-of-arrival (DOA) estimation of coherent signals for uniform linear array. The proposed method reformulates the covariance matrix as a multiple-snapshot array output model to obtain a high array signal-to-noise ratio. Then the scheme of the atomic norm minimization [Yang and Xie, IEEE Trans. Signal Process. 64(19), 5145-5157 (2016)] is extended to this model, thus estimating the DOAs in a continuous space. The proposed method avoids the condition where DOAs deviate from the discretized grid, i.e., basis mismatch. The simulation and experimental results verify the good performance of the proposed method for coherent signals.