Name
Title | ||
|---|---|---|
Signal Classification and Jamming Detection in Wide-Band Radios Using Naïve Bayes Classifier. |
Abstract | ||
|---|---|---|
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... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LCOMM.2018.2830769 | IEEE Communications Letters |
Keywords | Field | DocType |
Jamming,Receivers,Feature extraction,Binary phase shift keying,Compressed sensing,Classification algorithms | Naive Bayes classifier,Pattern recognition,Computer science,Analog-to-digital converter,Real-time computing,Sampling (statistics),Signal classification,Artificial intelligence,Classifier (linguistics),Jamming,Compressed sensing,Modulation (music) | Journal |
Volume | Issue | ISSN |
22 | 7 | 1089-7798 |
Citations | PageRank | References |
2 | 0.45 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Muhammad Ozair Mughal | 1 | 12 | 3.37 |
| Sunwoo Kim | 2 | 66 | 11.00 |