Weighted projection optimization for range-dependent clutter suppression in bistatic MIMO radar

Bo Dang; Gui Sheng Liao; Jun Li; Rui Chai; Jia Su

doi:10.3724/SP.J.1146.2013.00005

Weighted projection optimization for range-dependent clutter suppression in bistatic MIMO radar

Bo Dang, Gui Sheng Liao, Jun Li, Rui Chai, Jia Su

Xidian University

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

1 Scopus citations

Abstract

In bistatic MIMO radar system, all the clutter ridges are located in the same plane of the threedimensional space. By using this characteristic, a weighted projection optimization based range-dependent clutter suppression method is presented. The coordinates of the clutter spectra are first rotated through a special angle. Then the projection weights are optimized by maximizing the output Signal-Interference-Noise Ratio (SINR) to transform the 3-Dimensional (3D) range-dependent clutter to 2D range-independent. Furthermore, the resultant nonlinear optimization issue is reformulated as a Semi-Definite Programming (SDP) one, which can be solved very efficiently. Analysis of simulation indicate that the proposed method is easy to implement and can cancel the range-dependent clutter effectively.

Original language	English
Pages (from-to)	2505-2511
Number of pages	7
Journal	Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology
Volume	35
Issue number	10
DOIs	https://doi.org/10.3724/SP.J.1146.2013.00005
State	Published - Oct 2013
Externally published	Yes

Keywords

Bistatic radar
MIMO
Range-dependence
Semi-Definite Programming (SDP)
Space-Time Adaptive Processing (STAP)

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10.3724/SP.J.1146.2013.00005

Cite this

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title = "Weighted projection optimization for range-dependent clutter suppression in bistatic MIMO radar",

abstract = "In bistatic MIMO radar system, all the clutter ridges are located in the same plane of the threedimensional space. By using this characteristic, a weighted projection optimization based range-dependent clutter suppression method is presented. The coordinates of the clutter spectra are first rotated through a special angle. Then the projection weights are optimized by maximizing the output Signal-Interference-Noise Ratio (SINR) to transform the 3-Dimensional (3D) range-dependent clutter to 2D range-independent. Furthermore, the resultant nonlinear optimization issue is reformulated as a Semi-Definite Programming (SDP) one, which can be solved very efficiently. Analysis of simulation indicate that the proposed method is easy to implement and can cancel the range-dependent clutter effectively.",

keywords = "Bistatic radar, MIMO, Range-dependence, Semi-Definite Programming (SDP), Space-Time Adaptive Processing (STAP)",

author = "Bo Dang and Liao, {Gui Sheng} and Jun Li and Rui Chai and Jia Su",

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AU - Dang, Bo

AU - Liao, Gui Sheng

AU - Li, Jun

AU - Chai, Rui

AU - Su, Jia

PY - 2013/10

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N2 - In bistatic MIMO radar system, all the clutter ridges are located in the same plane of the threedimensional space. By using this characteristic, a weighted projection optimization based range-dependent clutter suppression method is presented. The coordinates of the clutter spectra are first rotated through a special angle. Then the projection weights are optimized by maximizing the output Signal-Interference-Noise Ratio (SINR) to transform the 3-Dimensional (3D) range-dependent clutter to 2D range-independent. Furthermore, the resultant nonlinear optimization issue is reformulated as a Semi-Definite Programming (SDP) one, which can be solved very efficiently. Analysis of simulation indicate that the proposed method is easy to implement and can cancel the range-dependent clutter effectively.

AB - In bistatic MIMO radar system, all the clutter ridges are located in the same plane of the threedimensional space. By using this characteristic, a weighted projection optimization based range-dependent clutter suppression method is presented. The coordinates of the clutter spectra are first rotated through a special angle. Then the projection weights are optimized by maximizing the output Signal-Interference-Noise Ratio (SINR) to transform the 3-Dimensional (3D) range-dependent clutter to 2D range-independent. Furthermore, the resultant nonlinear optimization issue is reformulated as a Semi-Definite Programming (SDP) one, which can be solved very efficiently. Analysis of simulation indicate that the proposed method is easy to implement and can cancel the range-dependent clutter effectively.

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KW - Range-dependence

KW - Semi-Definite Programming (SDP)

KW - Space-Time Adaptive Processing (STAP)

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Weighted projection optimization for range-dependent clutter suppression in bistatic MIMO radar

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Keywords

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