Proceedings of the 2019 International Conference on Computer, Network, Communication and Information Systems (CNCI 2019)

Extended Rank Reduction Estimator for Noncircular Sources

Authors
Chong Li, Xiaowen Li, Xiaobao Fu
Corresponding Author
Chong Li
Available Online May 2019.
DOI
10.2991/cnci-19.2019.18How to use a DOI?
Keywords
DOA Estimation, auto-calibration, extended RARE, noncircular Source, identifiability.
Abstract

Researchers have placed much attention on direction-of-arrival (DOA) estimation algorithms for noncircular sources in recent years. However, inevitable sensor errors will cause considerable deterioration of estimation performance of these algorithms. This paper proposes an extended rank reduction estimator (RARE, a kind of auto-calibration methods) for noncircular sources upon a condition of factorization of the steering vectors in the presence of sensor errors. The proposed method can realize the “decoupling” estimation of DOAs and sensor errors without any iterative process. The simulation results of two different applications of the proposed method are presented, which demonstrate that the proposed method outperforms the conventional RARE in terms of estimation accuracy and the number of sources that can be distinguished. Moreover, its performance advantage in estimation accuracy is more significant when signal-to-noise ratio is low, or the number of snapshots is small.

Copyright
© 2019, 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 2019 International Conference on Computer, Network, Communication and Information Systems (CNCI 2019)
Series
Advances in Computer Science Research
Publication Date
May 2019
ISBN
10.2991/cnci-19.2019.18
ISSN
2352-538X
DOI
10.2991/cnci-19.2019.18How to use a DOI?
Copyright
© 2019, 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  - Chong Li
AU  - Xiaowen Li
AU  - Xiaobao Fu
PY  - 2019/05
DA  - 2019/05
TI  - Extended Rank Reduction Estimator for Noncircular Sources
BT  - Proceedings of the 2019 International Conference on Computer, Network, Communication and Information Systems (CNCI 2019)
PB  - Atlantis Press
SP  - 129
EP  - 136
SN  - 2352-538X
UR  - https://doi.org/10.2991/cnci-19.2019.18
DO  - 10.2991/cnci-19.2019.18
ID  - Li2019/05
ER  -