Name
Title | ||
|---|---|---|
Multiple hypothesis modulation classification based on cyclic cumulants of different orders |
Abstract | ||
|---|---|---|
A multiple hypothesis modulation QAM classification task is addressed. The classifier is designed within the rigorous framework of decision theory. A characteristic feature is extracted from the signal, and is compared to the possible theoretical features in the maximum likelihood sense. This feature is composed of a combination between fourth-order and squared second-order cyclic temporal cumulants. No assumption about the power of the signal is made. It is shown that this uncertainty about the power of the signal does not affect the decision rule. As an application, we present simulated performance in the context of 4-QAM vs 16-QAM vs 64-QAM classification |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1109/ICASSP.1998.681573 | Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference |
Keywords | Field | DocType |
decision theory,feature extraction,higher order statistics,pattern classification,quadrature amplitude modulation,16-QAM,4-QAM,64-QAM,cyclic cumulants,cyclic multicorrelations,decision rule,decision theory,feature extraction,fourth-order cyclic temporal cumulant,interference,maximum likelihood function,multiple hypothesis modulation classification,noise corrupted signal,simulated performance,squared second-order cyclic temporal cumulant | Decision rule,Signal processing,Quadrature amplitude modulation,Pattern recognition,Detection theory,Computer science,Higher-order statistics,QAM,Feature extraction,Decision theory,Artificial intelligence | Conference |
Volume | ISSN | ISBN |
4 | 1520-6149 | 0-7803-4428-6 |
Citations | PageRank | References |
17 | 1.54 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marchand, P. | 1 | 19 | 1.95 |
| Jean-Louis Lacoume | 2 | 62 | 12.13 |
| Le Martret, C. | 3 | 28 | 4.64 |