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Content Provider | IEEE Xplore Digital Library |
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Author | Lei Kong Zhijun Xu Jinming Wang Kexiu Pan |
Copyright Year | 2013 |
Description | Author affiliation: Inst. of Commun. Eng., PLA Univ. of Sci. & Technol., Nanjing, China (Lei Kong; Zhijun Xu; Jinming Wang; Kexiu Pan) |
Abstract | The jamming is one of the most important factors in modern wireless communication. More and more attention has been paid to the analysis of jamming signals. In this paper, a novel algorithm for the recognition of jamming signals in wireless communication is proposed. This algorithm is based on the singular value decomposition of the signals' cyclic spectrum density. The cyclic spectrum density is insensitive to Gauss white noise and put up many important signal features. The singular value decomposition method is conducive to decrease the dimensions of cyclic spectrum density function. Simulation results show that the proposed algorithm has a higher recognition rate than the traditional method, especially when the jamming to signal ratio is lower. |
Sponsorship | IEEE Eng.Med. Biol. Soc. |
Starting Page | 1473 |
Ending Page | 1477 |
File Size | 925510 |
Page Count | 5 |
File Format | |
e-ISBN | 9781479927647 |
DOI | 10.1109/CISP.2013.6743907 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-12-16 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Wireless communication Signal processing algorithms cyclic spectrum density Feature extraction Vectors jamming recognition Matrix decomposition Jamming singular value decomposition Singular value decomposition wireless communication |
Content Type | Text |
Resource Type | Article |
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