A Novel Radar Detection Approach Based on Hybrid Time-Frequency Analysis and Adaptive Threshold Selection

Zhilu Wu; Zhutian Yang; Zhendong Yin; Taifan Quan

doi:10.1007/978-3-642-37832-4_8

A Novel Radar Detection Approach Based on Hybrid Time-Frequency Analysis and Adaptive Threshold Selection

Zhilu Wu
, Zhutian Yang
, Zhendong Yin^*
, Taifan Quan

^*Corresponding author for this work

School of Electronics and Information Engineering, Harbin Institute of Technology

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

Due to the increasing complexity of electromagnetic signals, there exists a significant challenge for radar signal detection. In this paper, a novel radar detection approach based on time-frequency distribution (TFD) is proposed. Exploiting the complementation of linear TFD and bilinear TFD approaches, the cross terms of Wigner-Ville distribution (WVD) are suppressed. By using an optimal threshold selected adaptively, the regions of WVD auto terms are determined exactly. And the multicomponent radar signals can be detected efficiently. Simulation results show that this approach can efficiently detect not only linear frequency modulation (LFM) signals, but also normal signals and phase modulation (BPSK and QPSK) signals.

Original language	English
Pages (from-to)	79-89
Number of pages	11
Journal	Advances in Intelligent Systems and Computing
Volume	214
DOIs	https://doi.org/10.1007/978-3-642-37832-4_8
State	Published - 2014
Externally published	Yes
Event	7th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2012 - Beijing, China Duration: 15 Dec 2012 → 17 Dec 2012

Keywords

Adaptive threshold selection
Auto term
Spectrogram
WVD

Access to Document

10.1007/978-3-642-37832-4_8

Cite this

@article{408b2073bde547298ce2af26035f53f1,

title = "A Novel Radar Detection Approach Based on Hybrid Time-Frequency Analysis and Adaptive Threshold Selection",

abstract = "Due to the increasing complexity of electromagnetic signals, there exists a significant challenge for radar signal detection. In this paper, a novel radar detection approach based on time-frequency distribution (TFD) is proposed. Exploiting the complementation of linear TFD and bilinear TFD approaches, the cross terms of Wigner-Ville distribution (WVD) are suppressed. By using an optimal threshold selected adaptively, the regions of WVD auto terms are determined exactly. And the multicomponent radar signals can be detected efficiently. Simulation results show that this approach can efficiently detect not only linear frequency modulation (LFM) signals, but also normal signals and phase modulation (BPSK and QPSK) signals.",

keywords = "Adaptive threshold selection, Auto term, Spectrogram, WVD",

author = "Zhilu Wu and Zhutian Yang and Zhendong Yin and Taifan Quan",

year = "2014",

doi = "10.1007/978-3-642-37832-4\_8",

language = "英语",

volume = "214",

pages = "79--89",

journal = "Advances in Intelligent Systems and Computing",

issn = "2194-5357",

publisher = "Springer Science and Business Media Deutschland GmbH",

note = "7th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2012 ; Conference date: 15-12-2012 Through 17-12-2012",

}

TY - JOUR

T1 - A Novel Radar Detection Approach Based on Hybrid Time-Frequency Analysis and Adaptive Threshold Selection

AU - Wu, Zhilu

AU - Yang, Zhutian

AU - Yin, Zhendong

AU - Quan, Taifan

PY - 2014

Y1 - 2014

N2 - Due to the increasing complexity of electromagnetic signals, there exists a significant challenge for radar signal detection. In this paper, a novel radar detection approach based on time-frequency distribution (TFD) is proposed. Exploiting the complementation of linear TFD and bilinear TFD approaches, the cross terms of Wigner-Ville distribution (WVD) are suppressed. By using an optimal threshold selected adaptively, the regions of WVD auto terms are determined exactly. And the multicomponent radar signals can be detected efficiently. Simulation results show that this approach can efficiently detect not only linear frequency modulation (LFM) signals, but also normal signals and phase modulation (BPSK and QPSK) signals.

AB - Due to the increasing complexity of electromagnetic signals, there exists a significant challenge for radar signal detection. In this paper, a novel radar detection approach based on time-frequency distribution (TFD) is proposed. Exploiting the complementation of linear TFD and bilinear TFD approaches, the cross terms of Wigner-Ville distribution (WVD) are suppressed. By using an optimal threshold selected adaptively, the regions of WVD auto terms are determined exactly. And the multicomponent radar signals can be detected efficiently. Simulation results show that this approach can efficiently detect not only linear frequency modulation (LFM) signals, but also normal signals and phase modulation (BPSK and QPSK) signals.

KW - Adaptive threshold selection

KW - Auto term

KW - Spectrogram

KW - WVD

UR - https://www.scopus.com/pages/publications/84888421803

U2 - 10.1007/978-3-642-37832-4_8

DO - 10.1007/978-3-642-37832-4_8

M3 - 会议文章

AN - SCOPUS:84888421803

SN - 2194-5357

VL - 214

SP - 79

EP - 89

JO - Advances in Intelligent Systems and Computing

JF - Advances in Intelligent Systems and Computing

T2 - 7th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2012

Y2 - 15 December 2012 through 17 December 2012

ER -

A Novel Radar Detection Approach Based on Hybrid Time-Frequency Analysis and Adaptive Threshold Selection

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this