In this paper, a novel approach for central angle estimation of coherently distributed targets that utilizes electric vector sensors in bistatic MIMO radar is proposed. First, the coherently distributed targets signal model in bistatic MIMO radar that equipped with electric vector sensors is reconstructed. The Hadamard product rotation invariance property of the coherently distributed targets' steering vectors is found to get the initial estimation of direction of departure (DOD). 1-D MUSIC is then used to estimate the accurate central angles of direction of arrival (DOA) and DOD. The proposed method can estimate the central angles of DOA and DOD efficiently and accurately without pairing even in the situation where the angular signal distribution functions are unknown. Our method has better performance than Guo's algorithm. Numerical results verify the improvement and performance of the proposed algorithm.
Wei WANG
Harbin Engineering University
Ben WANG
Harbin Engineering University
Xiangpeng WANG
Harbin Engineering University
Ping HUANG
Harbin Engineering University
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Wei WANG, Ben WANG, Xiangpeng WANG, Ping HUANG, "Central Angle Estimation of Distributed Targets with Electric Vector Sensors in MIMO Radar" in IEICE TRANSACTIONS on Communications,
vol. E98-B, no. 10, pp. 2060-2067, October 2015, doi: 10.1587/transcom.E98.B.2060.
Abstract: In this paper, a novel approach for central angle estimation of coherently distributed targets that utilizes electric vector sensors in bistatic MIMO radar is proposed. First, the coherently distributed targets signal model in bistatic MIMO radar that equipped with electric vector sensors is reconstructed. The Hadamard product rotation invariance property of the coherently distributed targets' steering vectors is found to get the initial estimation of direction of departure (DOD). 1-D MUSIC is then used to estimate the accurate central angles of direction of arrival (DOA) and DOD. The proposed method can estimate the central angles of DOA and DOD efficiently and accurately without pairing even in the situation where the angular signal distribution functions are unknown. Our method has better performance than Guo's algorithm. Numerical results verify the improvement and performance of the proposed algorithm.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E98.B.2060/_p
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@ARTICLE{e98-b_10_2060,
author={Wei WANG, Ben WANG, Xiangpeng WANG, Ping HUANG, },
journal={IEICE TRANSACTIONS on Communications},
title={Central Angle Estimation of Distributed Targets with Electric Vector Sensors in MIMO Radar},
year={2015},
volume={E98-B},
number={10},
pages={2060-2067},
abstract={In this paper, a novel approach for central angle estimation of coherently distributed targets that utilizes electric vector sensors in bistatic MIMO radar is proposed. First, the coherently distributed targets signal model in bistatic MIMO radar that equipped with electric vector sensors is reconstructed. The Hadamard product rotation invariance property of the coherently distributed targets' steering vectors is found to get the initial estimation of direction of departure (DOD). 1-D MUSIC is then used to estimate the accurate central angles of direction of arrival (DOA) and DOD. The proposed method can estimate the central angles of DOA and DOD efficiently and accurately without pairing even in the situation where the angular signal distribution functions are unknown. Our method has better performance than Guo's algorithm. Numerical results verify the improvement and performance of the proposed algorithm.},
keywords={},
doi={10.1587/transcom.E98.B.2060},
ISSN={1745-1345},
month={October},}
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TY - JOUR
TI - Central Angle Estimation of Distributed Targets with Electric Vector Sensors in MIMO Radar
T2 - IEICE TRANSACTIONS on Communications
SP - 2060
EP - 2067
AU - Wei WANG
AU - Ben WANG
AU - Xiangpeng WANG
AU - Ping HUANG
PY - 2015
DO - 10.1587/transcom.E98.B.2060
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E98-B
IS - 10
JA - IEICE TRANSACTIONS on Communications
Y1 - October 2015
AB - In this paper, a novel approach for central angle estimation of coherently distributed targets that utilizes electric vector sensors in bistatic MIMO radar is proposed. First, the coherently distributed targets signal model in bistatic MIMO radar that equipped with electric vector sensors is reconstructed. The Hadamard product rotation invariance property of the coherently distributed targets' steering vectors is found to get the initial estimation of direction of departure (DOD). 1-D MUSIC is then used to estimate the accurate central angles of direction of arrival (DOA) and DOD. The proposed method can estimate the central angles of DOA and DOD efficiently and accurately without pairing even in the situation where the angular signal distribution functions are unknown. Our method has better performance than Guo's algorithm. Numerical results verify the improvement and performance of the proposed algorithm.
ER -