Application of a synthesized time-frequency distribution to mc-PPS's detection

Li Li; Xi Cai Si; Qiao Le Peng

Application of a synthesized time-frequency distribution to mc-PPS's detection

Li Li
, Xi Cai Si^*
, Qiao Le Peng

^*Corresponding author for this work

Harbin Engineering University
Automatization Department

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

Abstract

A product spectrogram-WVD(PSWVD) transform method for detecting multicomponent PPS(mc-PPS) was developed. The PSWVD algorithm combines the merits of spectrogram with WVD transform, which holds good frequency aggregation and anti-noise performance while removing cross-terms of WVD. Meanwhile an adaptive threshold was set up to suppress noise and cross-terms, which reduces the computation mostly for the following Radon transform. Simulations on 3 component linear frequency modulation (LFM) signals, 2 component non-linear frequency modulation (NLFM) signals and strong and weak PPS show that the PSWVD algorithm has excellent detection performance.

Original language	English
Pages (from-to)	39-42
Number of pages	4
Journal	Dalian Haishi Daxue Xuebao/Journal of Dalian Maritime University
Volume	35
Issue number	1
State	Published - Feb 2009
Externally published	Yes

Keywords

Polynomial phase signal(PPS)
Product
Radon transform
Spectrogram
WVD transform

Cite this

@article{b6b65bd68fc14d09b715d95c7b5a44d2,

title = "Application of a synthesized time-frequency distribution to mc-PPS's detection",

abstract = "A product spectrogram-WVD(PSWVD) transform method for detecting multicomponent PPS(mc-PPS) was developed. The PSWVD algorithm combines the merits of spectrogram with WVD transform, which holds good frequency aggregation and anti-noise performance while removing cross-terms of WVD. Meanwhile an adaptive threshold was set up to suppress noise and cross-terms, which reduces the computation mostly for the following Radon transform. Simulations on 3 component linear frequency modulation (LFM) signals, 2 component non-linear frequency modulation (NLFM) signals and strong and weak PPS show that the PSWVD algorithm has excellent detection performance.",

keywords = "Polynomial phase signal(PPS), Product, Radon transform, Spectrogram, WVD transform",

author = "Li Li and Si, \{Xi Cai\} and Peng, \{Qiao Le\}",

year = "2009",

month = feb,

language = "英语",

volume = "35",

pages = "39--42",

journal = "Dalian Haishi Daxue Xuebao/Journal of Dalian Maritime University",

issn = "1006-7736",

publisher = "Editorial Office of Journal of Dalian Maritime University",

number = "1",

}

TY - JOUR

T1 - Application of a synthesized time-frequency distribution to mc-PPS's detection

AU - Li, Li

AU - Si, Xi Cai

AU - Peng, Qiao Le

PY - 2009/2

Y1 - 2009/2

N2 - A product spectrogram-WVD(PSWVD) transform method for detecting multicomponent PPS(mc-PPS) was developed. The PSWVD algorithm combines the merits of spectrogram with WVD transform, which holds good frequency aggregation and anti-noise performance while removing cross-terms of WVD. Meanwhile an adaptive threshold was set up to suppress noise and cross-terms, which reduces the computation mostly for the following Radon transform. Simulations on 3 component linear frequency modulation (LFM) signals, 2 component non-linear frequency modulation (NLFM) signals and strong and weak PPS show that the PSWVD algorithm has excellent detection performance.

AB - A product spectrogram-WVD(PSWVD) transform method for detecting multicomponent PPS(mc-PPS) was developed. The PSWVD algorithm combines the merits of spectrogram with WVD transform, which holds good frequency aggregation and anti-noise performance while removing cross-terms of WVD. Meanwhile an adaptive threshold was set up to suppress noise and cross-terms, which reduces the computation mostly for the following Radon transform. Simulations on 3 component linear frequency modulation (LFM) signals, 2 component non-linear frequency modulation (NLFM) signals and strong and weak PPS show that the PSWVD algorithm has excellent detection performance.

KW - Polynomial phase signal(PPS)

KW - Product

KW - Radon transform

KW - Spectrogram

KW - WVD transform

UR - https://www.scopus.com/pages/publications/63349108112

M3 - 文章

AN - SCOPUS:63349108112

SN - 1006-7736

VL - 35

SP - 39

EP - 42

JO - Dalian Haishi Daxue Xuebao/Journal of Dalian Maritime University

JF - Dalian Haishi Daxue Xuebao/Journal of Dalian Maritime University

IS - 1

ER -

Application of a synthesized time-frequency distribution to mc-PPS's detection

Abstract

Keywords

Other files and links

Fingerprint

Cite this