Multi-channel NLMS-based sea clutter cancellation in passive bistatic radar

Tao Shan; Yahui Ma; Ran Tao; Shengheng Liu

doi:10.1587/elex.11.20140872

Multi-channel NLMS-based sea clutter cancellation in passive bistatic radar

Tao Shan^*, Yahui Ma, Ran Tao, Shengheng Liu

^*Corresponding author for this work

School of Information and Electronics

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

23 Citations (Scopus)

Abstract

Sea clutter suppression is critical in the detection of low-velocity targets using a passive bistatic radar. The residual sea clutter may become high when the normalized least-mean-square (NLMS) algorithm with a small step size is used for this purpose. While a large step size can be used to reduce the residual sea clutter, it yields a widened filter notch, and thereby, causes significant target signal energy loss. A multi-channel NLMS algorithm is proposed to solve this problem, and its effectiveness is verified by simulation and real radar data analysis.

Original language	English
Article number	20140872
Journal	IEICE Electronics Express
Volume	11
Issue number	20
DOIs	https://doi.org/10.1587/elex.11.20140872
Publication status	Published - 10 Oct 2014

Keywords

Adaptive filter
Multichannel normalized least-mean-square (MCNLMS)
Passive bistatic radar (PBR)
Sea clutter cancellation

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10.1587/elex.11.20140872

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title = "Multi-channel NLMS-based sea clutter cancellation in passive bistatic radar",

abstract = "Sea clutter suppression is critical in the detection of low-velocity targets using a passive bistatic radar. The residual sea clutter may become high when the normalized least-mean-square (NLMS) algorithm with a small step size is used for this purpose. While a large step size can be used to reduce the residual sea clutter, it yields a widened filter notch, and thereby, causes significant target signal energy loss. A multi-channel NLMS algorithm is proposed to solve this problem, and its effectiveness is verified by simulation and real radar data analysis.",

keywords = "Adaptive filter, Multichannel normalized least-mean-square (MCNLMS), Passive bistatic radar (PBR), Sea clutter cancellation",

author = "Tao Shan and Yahui Ma and Ran Tao and Shengheng Liu",

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AU - Shan, Tao

AU - Ma, Yahui

AU - Tao, Ran

AU - Liu, Shengheng

N1 - Publisher Copyright: © IEICE 2014.

PY - 2014/10/10

Y1 - 2014/10/10

N2 - Sea clutter suppression is critical in the detection of low-velocity targets using a passive bistatic radar. The residual sea clutter may become high when the normalized least-mean-square (NLMS) algorithm with a small step size is used for this purpose. While a large step size can be used to reduce the residual sea clutter, it yields a widened filter notch, and thereby, causes significant target signal energy loss. A multi-channel NLMS algorithm is proposed to solve this problem, and its effectiveness is verified by simulation and real radar data analysis.

AB - Sea clutter suppression is critical in the detection of low-velocity targets using a passive bistatic radar. The residual sea clutter may become high when the normalized least-mean-square (NLMS) algorithm with a small step size is used for this purpose. While a large step size can be used to reduce the residual sea clutter, it yields a widened filter notch, and thereby, causes significant target signal energy loss. A multi-channel NLMS algorithm is proposed to solve this problem, and its effectiveness is verified by simulation and real radar data analysis.

KW - Adaptive filter

KW - Multichannel normalized least-mean-square (MCNLMS)

KW - Passive bistatic radar (PBR)

KW - Sea clutter cancellation

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JO - IEICE Electronics Express

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Multi-channel NLMS-based sea clutter cancellation in passive bistatic radar

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Keywords

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