Name
Abstract | ||
|---|---|---|
This paper presents a modulation identification system based on software radio platform. The signals have been conveyed to baseband by frequency conversion. Only three features have been chosen, which are kurtosis of the envelope, variance of phase histogram differential coefficients and valid area of power spectrum density. A fuzzy classifier is used for identification. It is proved by the results that the system performs well with a high percentage of correct identification. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/PDCAT.2005.126 | PDCAT |
Keywords | Field | DocType |
software radio platform,frequency conversion,modulation identification system,fuzzy classifier,high percentage,digital modulation identification,phase histogram differential coefficient,valid area,power spectrum density,correct identification,baseband,sampling methods,feature extraction,software radio,system performance,signal processing,histograms,digital signal processing | Signal processing,Histogram,Digital signal processing,Software-defined radio,Computer science,Real-time computing,Modulation,Artificial intelligence,Baseband,Pattern recognition,Digital signal,Speech recognition,Analog transmission | Conference |
ISBN | Citations | PageRank |
0-7695-2405-2 | 1 | 0.41 |
References | Authors | |
4 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jian Chen | 1 | 126 | 13.46 |
| Yonghong Kuo | 2 | 95 | 12.09 |
| Fenglin Fu | 3 | 24 | 7.59 |
| Chao Li | 4 | 1 | 0.41 |
| Jiandong Li | 5 | 1377 | 178.18 |