IEICE TRANSACTIONS on Communications
Low-Complexity Method for Angle Estimation in MIMO Radar
Summary :
A low-complexity method for angle estimation in Multiple-input multiple-output radar (MIMO) radar is presented. In this approach, the signal subspace can be spanned by the orthogonal vectors which are obtained by Multi-stage Wiener Filter (MSWF), then the ESPRIT method can be used to estimate direction of departures (DODs) and direction of arrivals (DOAs). Compared with the conventional ESPRIT algorithm, the proposed method does not involve estimation of the covariance matrix and its eigen-decomposition, which alleviates remarkably the computational complexity. Moreover, the proposed method achieves the similar angle estimation performance. Simulation results are presented to verify the efficiency of the proposed method.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E95-B No.9 pp.2976-2978
- Publication Date
- 2012/09/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E95.B.2976
- Type of Manuscript
- LETTER
- Category
- Antennas and Propagation
Authors
Keyword
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Wei WANG, Xian-peng WANG, Xin LI, "Low-Complexity Method for Angle Estimation in MIMO Radar" in IEICE TRANSACTIONS on Communications,
vol. E95-B, no. 9, pp. 2976-2978, September 2012, doi: 10.1587/transcom.E95.B.2976.
Abstract: A low-complexity method for angle estimation in Multiple-input multiple-output radar (MIMO) radar is presented. In this approach, the signal subspace can be spanned by the orthogonal vectors which are obtained by Multi-stage Wiener Filter (MSWF), then the ESPRIT method can be used to estimate direction of departures (DODs) and direction of arrivals (DOAs). Compared with the conventional ESPRIT algorithm, the proposed method does not involve estimation of the covariance matrix and its eigen-decomposition, which alleviates remarkably the computational complexity. Moreover, the proposed method achieves the similar angle estimation performance. Simulation results are presented to verify the efficiency of the proposed method.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E95.B.2976/_p
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@ARTICLE{e95-b_9_2976,
author={Wei WANG, Xian-peng WANG, Xin LI, },
journal={IEICE TRANSACTIONS on Communications},
title={Low-Complexity Method for Angle Estimation in MIMO Radar},
year={2012},
volume={E95-B},
number={9},
pages={2976-2978},
abstract={A low-complexity method for angle estimation in Multiple-input multiple-output radar (MIMO) radar is presented. In this approach, the signal subspace can be spanned by the orthogonal vectors which are obtained by Multi-stage Wiener Filter (MSWF), then the ESPRIT method can be used to estimate direction of departures (DODs) and direction of arrivals (DOAs). Compared with the conventional ESPRIT algorithm, the proposed method does not involve estimation of the covariance matrix and its eigen-decomposition, which alleviates remarkably the computational complexity. Moreover, the proposed method achieves the similar angle estimation performance. Simulation results are presented to verify the efficiency of the proposed method.},
keywords={},
doi={10.1587/transcom.E95.B.2976},
ISSN={1745-1345},
month={September},}
Copy
TY - JOUR
TI - Low-Complexity Method for Angle Estimation in MIMO Radar
T2 - IEICE TRANSACTIONS on Communications
SP - 2976
EP - 2978
AU - Wei WANG
AU - Xian-peng WANG
AU - Xin LI
PY - 2012
DO - 10.1587/transcom.E95.B.2976
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E95-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2012
AB - A low-complexity method for angle estimation in Multiple-input multiple-output radar (MIMO) radar is presented. In this approach, the signal subspace can be spanned by the orthogonal vectors which are obtained by Multi-stage Wiener Filter (MSWF), then the ESPRIT method can be used to estimate direction of departures (DODs) and direction of arrivals (DOAs). Compared with the conventional ESPRIT algorithm, the proposed method does not involve estimation of the covariance matrix and its eigen-decomposition, which alleviates remarkably the computational complexity. Moreover, the proposed method achieves the similar angle estimation performance. Simulation results are presented to verify the efficiency of the proposed method.
ER -
English
