A New Blind Separation Algorithm of TT&C Signals Based on ICA Algorithm in Multipath Communication Environment

Abstract

Because of the complexity of the electromagnetism circumstance in multipath communication environment and the multiplicity of the signal modulation mode, it is impossible to know the prior information of the original signal, which brings great difficulty for communication countermeasure. In order to solve the difficulty of communication countermeasure in circumstance of complex multiple signals, we propose a new blind reconnaissance technology, which adopts independent component analysis (ICA) technology 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 in this paper. 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, this paper expounds a new method to adopt it in the recognition of TT&C signals of satellite. The simulation results show that original signals can be separated primely 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 robust.