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A novel recognition approach for radar emitter signals based on on-line independent support vector machines
Journal Title Advances in Computer Science and its Applications
Journal Abbreviation ACSA
Publisher Group World Science Publisher
Website http://worldsciencepublisher.org/journals/
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Title A novel recognition approach for radar emitter signals based on on-line independent support vector machines
Authors Zhu, Ming; Fu, Kechang; Huang, Xiaoyan; Wu, Sidong; Jin, Weidong
Abstract Radar emitter signal recognition is one of the key procedures in signal processing of Electronic Intelligence. To enhance the ability of online recognition to meet the requirement of modern electronic warfare, A novel recognition approach for radar emitter signals based on on-line independent support vector machines is presented in this paper. Based on the cascade feature extraction of radar emitter signals, the on-line independent SVM is applied to effectively construct the basis vectors of SVM by incremental mode and make full use of the signal data information, then, an automatic online recognition system based on data driven are implemented. Experiment results shows that the method can achieve high accurate recognition rate even at lower SNR, and has good characteristics of rapid identification and less memory.
Publisher World Science Publisher
Date 2013-06-05
Source 2166-2924
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