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/).

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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  -