Coarray Interpolation for DOA Estimation Using Coprime EMVS Array
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 548-552 |
| Journal / Publication | IEEE Signal Processing Letters |
| Volume | 28 |
| Online published | 3 Mar 2021 |
| Publication status | Published - 2021 |
Link(s)
Abstract
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.
Research Area(s)
- coarray interpolation, coprime EMVS array, difference coarray, Direction-of-arrival (DOA) estimation
Citation Format(s)
Coarray Interpolation for DOA Estimation Using Coprime EMVS Array. / Fu, Mingcheng; Zheng, Zhi; Wang, Wen-Qin et al.
In: IEEE Signal Processing Letters, Vol. 28, 2021, p. 548-552.
In: IEEE Signal Processing Letters, Vol. 28, 2021, p. 548-552.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
