Recognition of Target and Jamming Signal for FM Fuze Based on Entropy Features

doi:10.3969/j.issn.1000-1093.2017.02.007

Abstract

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. Key

Key words: ordnancescienceandtechnology, FMfuze, targetrecognition, frequency-sweepingjamming

CLC Number:

TJ43⁺4.1

HUANG Ying， HAO Xin-hong， KONG Zhi-jie， ZHANG Biao. Recognition of Target and Jamming Signal for FM Fuze Based on Entropy Features[J]. Acta Armamentarii, 2017, 38(2): 254-260.

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第38卷
第2期2017 年2月兵工学报ACTA
ARMAMENTARIIVol.38No.2Feb.2017

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