An Improved Blind Separation Algorithm of TT & C Signals of Satellite Based on ICA Algorithm
Zhongzhao Zhang · Science Technology and Engineering · 2009
Due to the complexity of the electromagnetism circumstance and the multiplicity of the signal modulation mode in communication countermeasure,it is impossible to know the prior information of the original signal,which bring great difficulty for communication countermeasure.In order to solve the difficulty of communication countermeasure in circumstance of complex multiple signals,one new blind reconnaissance technology is proposed,which uses the independent component analysis(ICA) to separate the original signals blindly and implement following signal processing to each of the resulting signals.First,the basic principle of the ICA is discussed.Using maximum approximation of differential Negentropy,an objective function for ICA is introduced and a Fast-ICA algorithm based on maximum Negentropy is presented.Based on analyzing Fast-ICA algorithm deeply,a new method is expounded to adopt it in the recognition of TTC signals of satellite.The simulation results show that original signals can be separated by adopting this method without any priori information(i.e.carrier frequency,signal bandwidth and modulation mode),which establish a base for following signal processing,such as signal analysis and identity,demodulating and proves its good convergence and robustness.