Title :
Modulation Recognition Method Based on High Order Cyclic Cumulants for Time-Frequency Overlapped Two-Signal in the Single-Channel
Author :
Li, Kuang-dai ; Guo, Li-li ; Shi, Rong ; Wu, Dan
Abstract :
To solve the problems in modulation recognition of time-frequency overlapped two-signal in the single-channel, an algorithm based on cyclic cumulants used modulation recognition is presented. Through computing the fourth-order cyclic cumulants of pretreated band signals, the feature vector for classification was extracted, and then use the minimum-error criterion to classify time-frequency overlapped two-signal automaticly. Theoretical analysis and experiment results both verify that the algorithm is correct and efficient.
Keywords :
Algorithm design and analysis; Analytical models; Computational modeling; Gaussian noise; Image recognition; Laboratories; Signal analysis; Signal processing; Signal processing algorithms; Time frequency analysis; cyclic cumulants; modulation recognition; time-frequency overlapped; two-signal;
Conference_Titel :
Image and Signal Processing, 2008. CISP '08. Congress on
Conference_Location :
Sanya, China
Print_ISBN :
978-0-7695-3119-9
DOI :
10.1109/CISP.2008.484