Research On Key Technology Of PCMA Signal Analysis

Aiming at the problem of PCMA signal analysis,this paper focuses on modulation recognition,parameter estimation,blind separation of PCMA signal and blind separation of APCMA signal,etc.The main tasks and innovations are summarized as follows:1.In view of the modulation recognition problems of convention single signals and PCMA mixed signals in satellite communication,characteristic parameters using high-order cumulants and signal instantaneous characteristic statistics.Modulation recognition is realized by using characteristic parameters.Simulation results show that under the low signal-to-noise ratio,the algorithm can achieve high recognition rate.2.A parameter estimation algorithm based on data assistance is proposed to estimate the parameter estimation problem of single channel co-frequency mixed signal with fixed frame length and frame synchronization sequence in non-cooperative satellite communication.This algorithm estimation the signal frequency offset and the initial phase of the signal.Based on algorithm research,the modified Cramer-Rao bound is derived.The simulation results show that when the frame synchronization signal reaches a certain number the performance of the algorithm is close to the MCRB theory.3.Aiming at the problem of blind source separation of PCMA,a blind separation algorithm based on Bat Algorithm(BA)is proposed.Using the "kurtosis" and the bat algorithm is used to realize the separation of source signals.Simulation results show that the algorithm has good separation performance.The algorithm of blind separation of PCMA signals based on PSP algorithm is deduced and analyzed,and the algorithm flow is summarized.What`s more,a feasible scheme is proposed to improve the performance of the algorithm.4.Aiming at the problem of blind source separation of Asymmetric PCMA,a blind separation algorithm based on Synchrosqueezing Wavelet Transform is proposed.The algorithm extracts the time-frequency curve by using the Synchrosqueezing Wavelet Transform,and finally removes the noise and weak signal interference.The simulation results show that the error performance of the strong signal demodulation after this algorithm has been improved.