Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/638861
Title: Space time adaptive processing algorithm for multiple-input&x2013;multiple-output radar based on Nystr&xf6;m method
Authors: Wei Wang;Zheng Chen;Xin Li;Ben Wang
subject: Nyström-STAP method|multiple-input-multiple-output radar|block-diagonal feature|Nyström extension strategy|column sampling technique|space time adaptive processing algorithm|jammer covariance matrix|low dimension matrices|MIMO radar system
Year: 2016
Publisher: IEEE
Abstract: In this study, a new space-time adaptive processing (STAP) algorithm based on Nyström (Nyström-STAP) method is proposed to adaptively suppress the clutter and jammer in multiple-input-multiple-output (MIMO) radar system. The proposed method can reduce the number of training data and computation complexity with less performance loss. In the algorithm, by exploiting the low-rank characteristic with Nyström extension strategy and column sampling technique, the Nyström-based covariance estimator is obtained to approximate the clutter subspace with high accuracy, and it only need small clutter homogenous training data support. Then, combining block-diagonal feature of the jammer covariance matrix and the low-rank property of clutter subspace, the STAP filter can be formed by the inversions of low dimension matrices, which has less computation complexity. In order to further improve the convergence performance of the proposed method, with the help of adaptive displaced phase centre array technique, the reduced-rank Nyström approaches are proposed. Simulation results demonstrate that the proposed methods exhibit better signal-to-interference-plus-noise ratio and probability of detection performance than conventional STAP algorithms with fewer training data and lower computation complexity.
URI: http://localhost/handle/Hannan/183834
http://localhost/handle/Hannan/638861
ISSN: 1751-8784
1751-8792
volume: 10
issue: 3
Appears in Collections:2016

Files in This Item:
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Title: Space time adaptive processing algorithm for multiple-input&x2013;multiple-output radar based on Nystr&xf6;m method
Authors: Wei Wang;Zheng Chen;Xin Li;Ben Wang
subject: Nyström-STAP method|multiple-input-multiple-output radar|block-diagonal feature|Nyström extension strategy|column sampling technique|space time adaptive processing algorithm|jammer covariance matrix|low dimension matrices|MIMO radar system
Year: 2016
Publisher: IEEE
Abstract: In this study, a new space-time adaptive processing (STAP) algorithm based on Nyström (Nyström-STAP) method is proposed to adaptively suppress the clutter and jammer in multiple-input-multiple-output (MIMO) radar system. The proposed method can reduce the number of training data and computation complexity with less performance loss. In the algorithm, by exploiting the low-rank characteristic with Nyström extension strategy and column sampling technique, the Nyström-based covariance estimator is obtained to approximate the clutter subspace with high accuracy, and it only need small clutter homogenous training data support. Then, combining block-diagonal feature of the jammer covariance matrix and the low-rank property of clutter subspace, the STAP filter can be formed by the inversions of low dimension matrices, which has less computation complexity. In order to further improve the convergence performance of the proposed method, with the help of adaptive displaced phase centre array technique, the reduced-rank Nyström approaches are proposed. Simulation results demonstrate that the proposed methods exhibit better signal-to-interference-plus-noise ratio and probability of detection performance than conventional STAP algorithms with fewer training data and lower computation complexity.
URI: http://localhost/handle/Hannan/183834
http://localhost/handle/Hannan/638861
ISSN: 1751-8784
1751-8792
volume: 10
issue: 3
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7410944.pdf644.42 kBAdobe PDFThumbnail
Preview File
Title: Space time adaptive processing algorithm for multiple-input&x2013;multiple-output radar based on Nystr&xf6;m method
Authors: Wei Wang;Zheng Chen;Xin Li;Ben Wang
subject: Nyström-STAP method|multiple-input-multiple-output radar|block-diagonal feature|Nyström extension strategy|column sampling technique|space time adaptive processing algorithm|jammer covariance matrix|low dimension matrices|MIMO radar system
Year: 2016
Publisher: IEEE
Abstract: In this study, a new space-time adaptive processing (STAP) algorithm based on Nyström (Nyström-STAP) method is proposed to adaptively suppress the clutter and jammer in multiple-input-multiple-output (MIMO) radar system. The proposed method can reduce the number of training data and computation complexity with less performance loss. In the algorithm, by exploiting the low-rank characteristic with Nyström extension strategy and column sampling technique, the Nyström-based covariance estimator is obtained to approximate the clutter subspace with high accuracy, and it only need small clutter homogenous training data support. Then, combining block-diagonal feature of the jammer covariance matrix and the low-rank property of clutter subspace, the STAP filter can be formed by the inversions of low dimension matrices, which has less computation complexity. In order to further improve the convergence performance of the proposed method, with the help of adaptive displaced phase centre array technique, the reduced-rank Nyström approaches are proposed. Simulation results demonstrate that the proposed methods exhibit better signal-to-interference-plus-noise ratio and probability of detection performance than conventional STAP algorithms with fewer training data and lower computation complexity.
URI: http://localhost/handle/Hannan/183834
http://localhost/handle/Hannan/638861
ISSN: 1751-8784
1751-8792
volume: 10
issue: 3
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7410944.pdf644.42 kBAdobe PDFThumbnail
Preview File