Title | ||
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A Novel Anti-Jamming Driven Sparse Analysis-Based Spread Spectrum Communication Methodology |
Abstract | ||
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With the rapid and bursting development of communication engineering and some related techniques, spread spectrum communication and sparse analysis have been a hot research topic in the research community. A novel anti-jamming driven sparse analysis-based spread spectrum communication methodology is proposed in this paper, which mainly increases the spread spectrum modulation and the spread spectrum demodulation in the receiving end. The process of spread spectrum communication according to the working methods of different methodologies including direct-sequence spread spectrum. In this paper, the sparse presentation, dictionary learning, anti-jamming analysis and the basic communication theories are integrated altogether to enhance the traditional spread spectrum communication analysis framework. The experimental result proves the robustness of the proposed method. |
Year | DOI | Venue |
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2019 | 10.1142/S0218001419580011 | INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE |
Keywords | Field | DocType |
Signal processing, spread spectrum communication, sparse representation, anti-jamming, signal features | Bursting,Signal processing,Sparse approximation,Telecommunications engineering,Artificial intelligence,Jamming,Computer engineering,Machine learning,Mathematics,Spread spectrum | Journal |
Volume | Issue | ISSN |
33 | 1 | 0218-0014 |
Citations | PageRank | References |
0 | 0.34 | 14 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Wenzhun Huang | 1 | 76 | 6.08 |
Zhe Liu | 2 | 62 | 15.62 |
Lintao Lv | 3 | 3 | 1.45 |
Liping Wang | 4 | 11 | 4.94 |
Shanwen Zhang | 5 | 317 | 34.71 |