Intelligent Recognition Algorithm of Common Channel Multi-Signal Based on Fuzzy Classification
Abstract
The fuzzy classification theory is introduced, and an intelligent recognition algorithm based on the fuzzy classification theory is proposed. Besides, the timing synchronization problem of co-channel multi-signal is studied. It is proved that when the oversampling times of each independent signal are not equal and irreducible, the maximum average power timing algorithm can be used to synchronize each independent signal. High-order cumulant estimates can then be made one by one for each individual signal that has been synchronized. In addition, based on the estimation of cumulant, the feature parameters are extracted for modulation recognition. The features extracted by the algorithm can be recognized by a wide range of modulation methods and it has a wide range of applications.