Considering that existing clutter cancellation methods process information either in the time domain or in the spatial domain, this paper proposes a new clutter cancellation method that utilizes joint multi-domain information for passive radar. Assuming that there is a receiving array at the surveillance channel, firstly we propose a multi-domain information clutter cancellation model by constructing a time domain weighted matrix and a spatial weighted vector. Secondly the weighted matrix and vector can be updated adaptively utilizing the constant modulus constraint. Finally the weighted matrix is derived from the principle of optimal filtering and the recursion formula of weighted vector is obtained utilizing the Gauss-Newton method. Making use of the information in both time and spatial domain, the proposed method attenuates the noise and residual clutter whose directions are different from that of the target echo. Simulation results prove that the proposed method has higher clutter attenuation (CA) compared with the traditional methods in the low signal to noise ratio condition, and it also improves the detection performance of weak targets.
Yonghui ZHAI
Zhengzhou Information Science and Technology Institute,National Digital Switching System Engineering and Technology Research Center
Ding WANG
Zhengzhou Information Science and Technology Institute
Jiang WU
Zhengzhou Information Science and Technology Institute
Shengheng LIU
Beijing Institute of Technology
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copy
Yonghui ZHAI, Ding WANG, Jiang WU, Shengheng LIU, "A Novel Clutter Cancellation Method Utilizing Joint Multi-Domain Information for Passive Radar" in IEICE TRANSACTIONS on Communications,
vol. E99-B, no. 10, pp. 2203-2211, October 2016, doi: 10.1587/transcom.2015EBP3472.
Abstract: Considering that existing clutter cancellation methods process information either in the time domain or in the spatial domain, this paper proposes a new clutter cancellation method that utilizes joint multi-domain information for passive radar. Assuming that there is a receiving array at the surveillance channel, firstly we propose a multi-domain information clutter cancellation model by constructing a time domain weighted matrix and a spatial weighted vector. Secondly the weighted matrix and vector can be updated adaptively utilizing the constant modulus constraint. Finally the weighted matrix is derived from the principle of optimal filtering and the recursion formula of weighted vector is obtained utilizing the Gauss-Newton method. Making use of the information in both time and spatial domain, the proposed method attenuates the noise and residual clutter whose directions are different from that of the target echo. Simulation results prove that the proposed method has higher clutter attenuation (CA) compared with the traditional methods in the low signal to noise ratio condition, and it also improves the detection performance of weak targets.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2015EBP3472/_p
Copy
@ARTICLE{e99-b_10_2203,
author={Yonghui ZHAI, Ding WANG, Jiang WU, Shengheng LIU, },
journal={IEICE TRANSACTIONS on Communications},
title={A Novel Clutter Cancellation Method Utilizing Joint Multi-Domain Information for Passive Radar},
year={2016},
volume={E99-B},
number={10},
pages={2203-2211},
abstract={Considering that existing clutter cancellation methods process information either in the time domain or in the spatial domain, this paper proposes a new clutter cancellation method that utilizes joint multi-domain information for passive radar. Assuming that there is a receiving array at the surveillance channel, firstly we propose a multi-domain information clutter cancellation model by constructing a time domain weighted matrix and a spatial weighted vector. Secondly the weighted matrix and vector can be updated adaptively utilizing the constant modulus constraint. Finally the weighted matrix is derived from the principle of optimal filtering and the recursion formula of weighted vector is obtained utilizing the Gauss-Newton method. Making use of the information in both time and spatial domain, the proposed method attenuates the noise and residual clutter whose directions are different from that of the target echo. Simulation results prove that the proposed method has higher clutter attenuation (CA) compared with the traditional methods in the low signal to noise ratio condition, and it also improves the detection performance of weak targets.},
keywords={},
doi={10.1587/transcom.2015EBP3472},
ISSN={1745-1345},
month={October},}
Copy
TY - JOUR
TI - A Novel Clutter Cancellation Method Utilizing Joint Multi-Domain Information for Passive Radar
T2 - IEICE TRANSACTIONS on Communications
SP - 2203
EP - 2211
AU - Yonghui ZHAI
AU - Ding WANG
AU - Jiang WU
AU - Shengheng LIU
PY - 2016
DO - 10.1587/transcom.2015EBP3472
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E99-B
IS - 10
JA - IEICE TRANSACTIONS on Communications
Y1 - October 2016
AB - Considering that existing clutter cancellation methods process information either in the time domain or in the spatial domain, this paper proposes a new clutter cancellation method that utilizes joint multi-domain information for passive radar. Assuming that there is a receiving array at the surveillance channel, firstly we propose a multi-domain information clutter cancellation model by constructing a time domain weighted matrix and a spatial weighted vector. Secondly the weighted matrix and vector can be updated adaptively utilizing the constant modulus constraint. Finally the weighted matrix is derived from the principle of optimal filtering and the recursion formula of weighted vector is obtained utilizing the Gauss-Newton method. Making use of the information in both time and spatial domain, the proposed method attenuates the noise and residual clutter whose directions are different from that of the target echo. Simulation results prove that the proposed method has higher clutter attenuation (CA) compared with the traditional methods in the low signal to noise ratio condition, and it also improves the detection performance of weak targets.
ER -