通信辐射源瞬态特征提取和个体识别方法

Abstract

Abstract:

Individual communication signals identification is an important issue in the field of communication reconnaissance in recent years. The recurrence plot method is proposed to detect the start-up point of the transient signals, which is based on the nonlinear characteristics of the transient signal. Wavelet transform is used to extract features from the transmitters. The most discriminatory features are selected from a large number of wavelet transform features by genetic algorithms, and Support Vector Machines (SVM) are used to realize the individual identification. Experimental results show that the introduced method achieves good accuracy recognition rate in terms of a little features as reference, with the accuracy recognition being more than 90％.

Key words: transmitter identification, fine feature, feature selection, wavelet transforms, genetic algorithms

CLC Number:

TN971

LU Man-jun;ZHAN Yi;SI Xi-cai;YANG Xiao-niu. Extraction of the transient characteristics of the communication radiating source and individual indentification[J].J4, 2009, 36(4): 736-740.

References

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Extraction of the transient characteristics of the communication radiating source and individual indentification

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