Clutter attenuation-stable normalised least-mean fourth for PBR

Yuping Zhang; Yunjie Li; Yuyu Wei; Wenjing Li

doi:10.1049/el.2015.4083

Clutter attenuation-stable normalised least-mean fourth for PBR

Yuping Zhang, Yunjie Li^*, Yuyu Wei, Wenjing Li

^*Corresponding author for this work

School of Information and Electronics

Beijing Institute of Technology

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

1 Citation (Scopus)

Abstract

The stable normalised least-mean fourth (SNLMF) algorithm is developed in the passive bistatic radar (PBR) system to realise the interference cancellation. The larger power of the reference signal may lead to the poor convergence rate. By replacing the reference signal vector with the instantaneous echo signal, the concept of the clutter attenuation (CA) is introduced in the SNLMF algorithm, and the CA-SNLMF algorithm is proposed to provide a fast convergence. The real measured data collected from the PBR system demonstrate that the proposed CA-SNLMF algorithm has a faster convergence speed and better cancellation performance than the SNLMF algorithm.

Original language	English
Pages (from-to)	759-761
Number of pages	3
Journal	Electronics Letters
Volume	52
Issue number	9
DOIs	https://doi.org/10.1049/el.2015.4083
Publication status	Published - 28 Apr 2016

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title = "Clutter attenuation-stable normalised least-mean fourth for PBR",

abstract = "The stable normalised least-mean fourth (SNLMF) algorithm is developed in the passive bistatic radar (PBR) system to realise the interference cancellation. The larger power of the reference signal may lead to the poor convergence rate. By replacing the reference signal vector with the instantaneous echo signal, the concept of the clutter attenuation (CA) is introduced in the SNLMF algorithm, and the CA-SNLMF algorithm is proposed to provide a fast convergence. The real measured data collected from the PBR system demonstrate that the proposed CA-SNLMF algorithm has a faster convergence speed and better cancellation performance than the SNLMF algorithm.",

author = "Yuping Zhang and Yunjie Li and Yuyu Wei and Wenjing Li",

note = "Publisher Copyright: {\textcopyright} The Institution of Engineering and Technology 2016.",

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AU - Zhang, Yuping

AU - Li, Yunjie

AU - Wei, Yuyu

AU - Li, Wenjing

PY - 2016/4/28

Y1 - 2016/4/28

N2 - The stable normalised least-mean fourth (SNLMF) algorithm is developed in the passive bistatic radar (PBR) system to realise the interference cancellation. The larger power of the reference signal may lead to the poor convergence rate. By replacing the reference signal vector with the instantaneous echo signal, the concept of the clutter attenuation (CA) is introduced in the SNLMF algorithm, and the CA-SNLMF algorithm is proposed to provide a fast convergence. The real measured data collected from the PBR system demonstrate that the proposed CA-SNLMF algorithm has a faster convergence speed and better cancellation performance than the SNLMF algorithm.

AB - The stable normalised least-mean fourth (SNLMF) algorithm is developed in the passive bistatic radar (PBR) system to realise the interference cancellation. The larger power of the reference signal may lead to the poor convergence rate. By replacing the reference signal vector with the instantaneous echo signal, the concept of the clutter attenuation (CA) is introduced in the SNLMF algorithm, and the CA-SNLMF algorithm is proposed to provide a fast convergence. The real measured data collected from the PBR system demonstrate that the proposed CA-SNLMF algorithm has a faster convergence speed and better cancellation performance than the SNLMF algorithm.

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JO - Electronics Letters

JF - Electronics Letters

IS - 9

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Clutter attenuation-stable normalised least-mean fourth for PBR

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