Coherently integrated cubic phase function for multiple LFM signals analysis

Jia Su; Hai Hong Tao; Xuan Rao; Jian Xie; Xiao Lu Guo

doi:10.1049/el.2014.4164

Coherently integrated cubic phase function for multiple LFM signals analysis

Jia Su, Hai Hong Tao, Xuan Rao, Jian Xie, Xiao Lu Guo

Xidian University

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

37 Scopus citations

Abstract

The cubic phase function (CPF) based estimator is efficient in estimating the parameters for mono-component linear frequency-modulated (LFM) signals. However, it suffers from cross-terms and spurious peaks when dealing with multi-component LFM signals. Aimed at this identifiability problem, a coherently integrated CPF (CICPF) algorithm is proposed to enhance the auto-terms and suppress spurious peaks. Comparisons with several existing algorithms are made, which show that the CICPF not only solve the identifiability problem for multi-component LFM signals, but also acquires high anti-noise performance.

Original language	English
Pages (from-to)	411-413
Number of pages	3
Journal	Electronics Letters
Volume	51
Issue number	5
DOIs	https://doi.org/10.1049/el.2014.4164
State	Published - 5 Mar 2015
Externally published	Yes

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10.1049/el.2014.4164

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title = "Coherently integrated cubic phase function for multiple LFM signals analysis",

abstract = "The cubic phase function (CPF) based estimator is efficient in estimating the parameters for mono-component linear frequency-modulated (LFM) signals. However, it suffers from cross-terms and spurious peaks when dealing with multi-component LFM signals. Aimed at this identifiability problem, a coherently integrated CPF (CICPF) algorithm is proposed to enhance the auto-terms and suppress spurious peaks. Comparisons with several existing algorithms are made, which show that the CICPF not only solve the identifiability problem for multi-component LFM signals, but also acquires high anti-noise performance.",

author = "Jia Su and Tao, {Hai Hong} and Xuan Rao and Jian Xie and Guo, {Xiao Lu}",

note = "Publisher Copyright: {\textcopyright} The Institution of Engineering and Technology 2015.",

year = "2015",

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doi = "10.1049/el.2014.4164",

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T1 - Coherently integrated cubic phase function for multiple LFM signals analysis

AU - Su, Jia

AU - Tao, Hai Hong

AU - Rao, Xuan

AU - Xie, Jian

AU - Guo, Xiao Lu

PY - 2015/3/5

Y1 - 2015/3/5

N2 - The cubic phase function (CPF) based estimator is efficient in estimating the parameters for mono-component linear frequency-modulated (LFM) signals. However, it suffers from cross-terms and spurious peaks when dealing with multi-component LFM signals. Aimed at this identifiability problem, a coherently integrated CPF (CICPF) algorithm is proposed to enhance the auto-terms and suppress spurious peaks. Comparisons with several existing algorithms are made, which show that the CICPF not only solve the identifiability problem for multi-component LFM signals, but also acquires high anti-noise performance.

AB - The cubic phase function (CPF) based estimator is efficient in estimating the parameters for mono-component linear frequency-modulated (LFM) signals. However, it suffers from cross-terms and spurious peaks when dealing with multi-component LFM signals. Aimed at this identifiability problem, a coherently integrated CPF (CICPF) algorithm is proposed to enhance the auto-terms and suppress spurious peaks. Comparisons with several existing algorithms are made, which show that the CICPF not only solve the identifiability problem for multi-component LFM signals, but also acquires high anti-noise performance.

UR - http://www.scopus.com/inward/record.url?scp=84923797860&partnerID=8YFLogxK

U2 - 10.1049/el.2014.4164

DO - 10.1049/el.2014.4164

M3 - 文章

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SN - 0013-5194

VL - 51

SP - 411

EP - 413

JO - Electronics Letters

JF - Electronics Letters

IS - 5

ER -

Coherently integrated cubic phase function for multiple LFM signals analysis

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