Signal Classification and Jamming Detection in Wide-Band Radios Using Naïve Bayes Classifier.

IEEE Communications Letters(2018)

引用 34|浏览9
暂无评分
摘要
This correspondence proposes a new technique for signal classification and jamming detection in wide-band (WB) radios. Theory of compressed sensing is exploited to recover the sparsely populated WB spectrum from sub-Nyquist samples, thus reducing the very high-rate sampling requirements at the receiver analog to digital converter. From the recovered WB, key spectral features of each narrow-band (N...
更多
查看译文
关键词
Jamming,Receivers,Feature extraction,Binary phase shift keying,Compressed sensing,Classification algorithms
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要