Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)

Wideband DOA Estimation Algorithm Based on Signal Subspace Rebuilding

Authors
Zhiqiang Liu, Hongguang Ma, Jian Yang
Corresponding Author
Zhiqiang Liu
Available Online October 2016.
DOI
https://doi.org/10.2991/ceie-16.2017.76How to use a DOI?
Keywords
Wideband; Direction-of-arrival (DOA) Estimation; Signal Subspace Rebuilding
Abstract
A new direction-of-arrival (DOA) estimation algorithm based on signal subspace rebuilding (SSR) is proposed for wideband sources. In the proposed algorithm, the signal subspaces are filtered by SSR to reduce the effect of the direction vectors of non-supposed directions. The signal subspaces of each frequency bin are focused and averaged to enhance the Signal-to-Noise Ratio (SNR) of signal subspace. Therefore the quality of spatial spectrum is enhanced. The algorithm does not require initial estimation of the DOAs. The performance of some wideband algorithms is compared with that of the algorithm through computer simulations. The simulation results show that the proposed algorithm has a higher resolution with lower bias and variance than other wideband algorithms.
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This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
978-94-6252-312-8
ISSN
2352-5401
DOI
https://doi.org/10.2991/ceie-16.2017.76How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zhiqiang Liu
AU  - Hongguang Ma
AU  - Jian Yang
PY  - 2016/10
DA  - 2016/10
TI  - Wideband DOA Estimation Algorithm Based on Signal Subspace Rebuilding
BT  - Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)
PB  - Atlantis Press
SP  - 596
EP  - 602
SN  - 2352-5401
UR  - https://doi.org/10.2991/ceie-16.2017.76
DO  - https://doi.org/10.2991/ceie-16.2017.76
ID  - Liu2016/10
ER  -