A DOA Estimation Algorithm from Sparse Representation Perspective for Vehicular Application
Authors
Beirui Zhang, Xiaoyou Yu, Heng Ye, Yan Zhou, Nengda Ci, Pengshuai Sun, Gaobo Yang
Corresponding Author
Beirui Zhang
Available Online May 2016.
- DOI
- 10.2991/wartia-16.2016.258How to use a DOI?
- Keywords
- Direction-of-Arrival Estimation, Sparse Representation, Vehicle Communication
- Abstract
In this paper, a recovery algorithm of direction-of-arrival (DOA) Estimation based on weighted minimization for vehicular applications is proposed. We construct an overcomplete basis based on the largest eigenvector of the covariance matrix, aiming at a sharp spatial spectrum that exhibits the high-precision. The theoretical analysis and simulation results demonstrate that the proposed method has an excellent performance in the aspects of accuracy.
- 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 - Beirui Zhang AU - Xiaoyou Yu AU - Heng Ye AU - Yan Zhou AU - Nengda Ci AU - Pengshuai Sun AU - Gaobo Yang PY - 2016/05 DA - 2016/05 TI - A DOA Estimation Algorithm from Sparse Representation Perspective for Vehicular Application BT - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications PB - Atlantis Press SP - 1226 EP - 1229 SN - 2352-5401 UR - https://doi.org/10.2991/wartia-16.2016.258 DO - 10.2991/wartia-16.2016.258 ID - Zhang2016/05 ER -