This letter addresses the problem of space-time adaptive processing (STAP) for airborne nonuniform linear array (NLA) radar using a generalized sidelobe canceller (GSC). Due to the difficulty of determining the spatial nulls for the NLAs, it is a problem to obtain a valid blocking matrix (BM) of the GSC directly. In order to solve this problem and improve the STAP performance, a BM modification method based on the modified Gram-Schmidt orthogonalization algorithm is proposed. The modified GSC processor can achieve the optimal STAP performance and as well a faster convergence rate than the orthogonal subspace projection method. Numerical simulations validate the effectiveness of the proposed methods.
Xiang ZHAO
University of Electronic Science and Technology of China
Zishu HE
University of Electronic Science and Technology of China
Yikai WANG
University of Electronic Science and Technology of China
Yuan JIANG
University of Electronic Science and Technology of China
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Xiang ZHAO, Zishu HE, Yikai WANG, Yuan JIANG, "Modified Generalized Sidelobe Canceller for Nonuniform Linear Array Radar Space-Time Adaptive Processing" in IEICE TRANSACTIONS on Fundamentals,
vol. E101-A, no. 9, pp. 1585-1587, September 2018, doi: 10.1587/transfun.E101.A.1585.
Abstract: This letter addresses the problem of space-time adaptive processing (STAP) for airborne nonuniform linear array (NLA) radar using a generalized sidelobe canceller (GSC). Due to the difficulty of determining the spatial nulls for the NLAs, it is a problem to obtain a valid blocking matrix (BM) of the GSC directly. In order to solve this problem and improve the STAP performance, a BM modification method based on the modified Gram-Schmidt orthogonalization algorithm is proposed. The modified GSC processor can achieve the optimal STAP performance and as well a faster convergence rate than the orthogonal subspace projection method. Numerical simulations validate the effectiveness of the proposed methods.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E101.A.1585/_p
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@ARTICLE{e101-a_9_1585,
author={Xiang ZHAO, Zishu HE, Yikai WANG, Yuan JIANG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Modified Generalized Sidelobe Canceller for Nonuniform Linear Array Radar Space-Time Adaptive Processing},
year={2018},
volume={E101-A},
number={9},
pages={1585-1587},
abstract={This letter addresses the problem of space-time adaptive processing (STAP) for airborne nonuniform linear array (NLA) radar using a generalized sidelobe canceller (GSC). Due to the difficulty of determining the spatial nulls for the NLAs, it is a problem to obtain a valid blocking matrix (BM) of the GSC directly. In order to solve this problem and improve the STAP performance, a BM modification method based on the modified Gram-Schmidt orthogonalization algorithm is proposed. The modified GSC processor can achieve the optimal STAP performance and as well a faster convergence rate than the orthogonal subspace projection method. Numerical simulations validate the effectiveness of the proposed methods.},
keywords={},
doi={10.1587/transfun.E101.A.1585},
ISSN={1745-1337},
month={September},}
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TY - JOUR
TI - Modified Generalized Sidelobe Canceller for Nonuniform Linear Array Radar Space-Time Adaptive Processing
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1585
EP - 1587
AU - Xiang ZHAO
AU - Zishu HE
AU - Yikai WANG
AU - Yuan JIANG
PY - 2018
DO - 10.1587/transfun.E101.A.1585
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E101-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 2018
AB - This letter addresses the problem of space-time adaptive processing (STAP) for airborne nonuniform linear array (NLA) radar using a generalized sidelobe canceller (GSC). Due to the difficulty of determining the spatial nulls for the NLAs, it is a problem to obtain a valid blocking matrix (BM) of the GSC directly. In order to solve this problem and improve the STAP performance, a BM modification method based on the modified Gram-Schmidt orthogonalization algorithm is proposed. The modified GSC processor can achieve the optimal STAP performance and as well a faster convergence rate than the orthogonal subspace projection method. Numerical simulations validate the effectiveness of the proposed methods.
ER -