Blind separation of mixed modulation signals based on independent component analysis
Liu Hu · Microcomputer Information · 2010
An independent component analysis applied to mixed modulation signals is introduced. In the paper, Maximum likelihood is used as the objective function which estimates statistical independence between output components. An iterative algorithm of independent component analysis is deprived by optimizing the objective function. And the steps of ICA have been given. The experiment has shown that this algorithm can successfully separates each modulation signals from the mixed signals.