Recognition of target and jamming signal for FM fuze based on entropy features

Ying Huang; Xin Hong Hao; Zhi Jie Kong; Biao Zhang

doi:10.3969/j.issn.1000-1093.2017.02.007

Recognition of target and jamming signal for FM fuze based on entropy features

Ying Huang, Xin Hong Hao^*, Zhi Jie Kong, Biao Zhang

^*Corresponding author for this work

School of Mechatronical Engineering

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

17 Citations (Scopus)

Abstract

A classification and recognition method of target and jamming signal based on entropy features is proposed to restrain the AM frequency-sweeping jamming of FM fuze. The time domain and frequency domain characteristics of output signal of fuze detector under the action of target and jamming signal are compared, the Shannon entropy and singular spectrum entropy of fuze detection output signal are extracted and verified to be valid by Kruskal-Wallis test method, and the support vector machine is used for classification and recognition of target signal and jamming signals. The experimental results show that the correct recognition rate of the proposed method is 98.954%, and it can effectively improve the ability of the anti-frequency sweeping jamming of FM fuze.

Original language	English
Pages (from-to)	254-260
Number of pages	7
Journal	Binggong Xuebao/Acta Armamentarii
Volume	38
Issue number	2
DOIs	https://doi.org/10.3969/j.issn.1000-1093.2017.02.007
Publication status	Published - 1 Feb 2017

Keywords

FM fuze
Frequency-sweeping jamming
Ordnance science and technology
Target recognition

Access to Document

10.3969/j.issn.1000-1093.2017.02.007

Cite this

@article{b828d600327646a9b1b274658f311e55,

title = "Recognition of target and jamming signal for FM fuze based on entropy features",

abstract = "A classification and recognition method of target and jamming signal based on entropy features is proposed to restrain the AM frequency-sweeping jamming of FM fuze. The time domain and frequency domain characteristics of output signal of fuze detector under the action of target and jamming signal are compared, the Shannon entropy and singular spectrum entropy of fuze detection output signal are extracted and verified to be valid by Kruskal-Wallis test method, and the support vector machine is used for classification and recognition of target signal and jamming signals. The experimental results show that the correct recognition rate of the proposed method is 98.954%, and it can effectively improve the ability of the anti-frequency sweeping jamming of FM fuze.",

keywords = "FM fuze, Frequency-sweeping jamming, Ordnance science and technology, Target recognition",

author = "Ying Huang and Hao, {Xin Hong} and Kong, {Zhi Jie} and Biao Zhang",

year = "2017",

month = feb,

day = "1",

doi = "10.3969/j.issn.1000-1093.2017.02.007",

language = "English",

volume = "38",

pages = "254--260",

journal = "Binggong Xuebao/Acta Armamentarii",

issn = "1000-1093",

publisher = "China Ordnance Society",

number = "2",

}

TY - JOUR

T1 - Recognition of target and jamming signal for FM fuze based on entropy features

AU - Huang, Ying

AU - Hao, Xin Hong

AU - Kong, Zhi Jie

AU - Zhang, Biao

PY - 2017/2/1

Y1 - 2017/2/1

N2 - A classification and recognition method of target and jamming signal based on entropy features is proposed to restrain the AM frequency-sweeping jamming of FM fuze. The time domain and frequency domain characteristics of output signal of fuze detector under the action of target and jamming signal are compared, the Shannon entropy and singular spectrum entropy of fuze detection output signal are extracted and verified to be valid by Kruskal-Wallis test method, and the support vector machine is used for classification and recognition of target signal and jamming signals. The experimental results show that the correct recognition rate of the proposed method is 98.954%, and it can effectively improve the ability of the anti-frequency sweeping jamming of FM fuze.

AB - A classification and recognition method of target and jamming signal based on entropy features is proposed to restrain the AM frequency-sweeping jamming of FM fuze. The time domain and frequency domain characteristics of output signal of fuze detector under the action of target and jamming signal are compared, the Shannon entropy and singular spectrum entropy of fuze detection output signal are extracted and verified to be valid by Kruskal-Wallis test method, and the support vector machine is used for classification and recognition of target signal and jamming signals. The experimental results show that the correct recognition rate of the proposed method is 98.954%, and it can effectively improve the ability of the anti-frequency sweeping jamming of FM fuze.

KW - FM fuze

KW - Frequency-sweeping jamming

KW - Ordnance science and technology

KW - Target recognition

UR - http://www.scopus.com/inward/record.url?scp=85019009691&partnerID=8YFLogxK

U2 - 10.3969/j.issn.1000-1093.2017.02.007

DO - 10.3969/j.issn.1000-1093.2017.02.007

M3 - Article

AN - SCOPUS:85019009691

SN - 1000-1093

VL - 38

SP - 254

EP - 260

JO - Binggong Xuebao/Acta Armamentarii

JF - Binggong Xuebao/Acta Armamentarii

IS - 2

ER -

Recognition of target and jamming signal for FM fuze based on entropy features

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this