Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications

A Novel Subspace Based DOA Estimation Method for Vehicular Application

Authors
JuQi Shi, Xiaoyou Yu, Heng Ye, Yan Zhou, Nengda Ci, Pengshuai Sun, Zhinian Luo
Corresponding Author
JuQi Shi
Available Online May 2016.
DOI
10.2991/wartia-16.2016.259How to use a DOI?
Keywords
Vehicular Communication System, DOA Estimate Method, Subspace
Abstract

In vehicular communication system, there is only a small number of samples for real time location system, so the sample covariance matrix will be a large degree of deviation from the signal covariance matrix. To solve this problem, a new method of DOA estimation is proposed in this paper, which improves the performance of DOA Estimation by modifying the sample covariance matrix. Simulation results illustrate the improvement achieved by the new method and demonstrate it is suitable for vehicular application.

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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Volume Title
Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
Series
Advances in Engineering Research
Publication Date
May 2016
ISBN
978-94-6252-195-7
ISSN
2352-5401
DOI
10.2991/wartia-16.2016.259How to use a DOI?
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  - JuQi Shi
AU  - Xiaoyou Yu
AU  - Heng Ye
AU  - Yan Zhou
AU  - Nengda Ci
AU  - Pengshuai Sun
AU  - Zhinian Luo
PY  - 2016/05
DA  - 2016/05
TI  - A Novel Subspace Based DOA Estimation Method for Vehicular Application
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 1230
EP  - 1234
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.259
DO  - 10.2991/wartia-16.2016.259
ID  - Shi2016/05
ER  -