High-resolution direction-of-arrival estimation using Khatri-Rao product and spatial sparsity of sources
- DOI
- 10.2991/isaeece-16.2016.59How to use a DOI?
- Keywords
- DOA estimation; K-R product; spatial sparsity
- Abstract
Algorithms based on Khatri-Rao (K-R) product improve the degree of freedom (DOF) of virtual arrays and thus more source angles can be estimated. However, the estimation accuracy is not satisfying. In this paper, a method considering spatial sparsity (SS) of sources in K-R subspace is proposed to estimate direction-of-arrival (DOA) angle. The spurious signal of the virtual array is obtained in K-R subspace and then the DOA angle estimation is finally equal to the solution of a convex optimization problem. In the proposed K-R SS method, high estimation accuracy is achieved by taking advantage of the cross-covariance matrix information. Simulation results demonstrate the effectiveness of the proposed method.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Shanshan Ding AU - Ningning Tong AU - Qichao Ge PY - 2016/04 DA - 2016/04 TI - High-resolution direction-of-arrival estimation using Khatri-Rao product and spatial sparsity of sources BT - Proceedings of the 2016 International Symposium on Advances in Electrical, Electronics and Computer Engineering PB - Atlantis Press SP - 308 EP - 312 SN - 2352-5401 UR - https://doi.org/10.2991/isaeece-16.2016.59 DO - 10.2991/isaeece-16.2016.59 ID - Ding2016/04 ER -