Implementation To Equalization Algorithm For High Data Rate Demoduiation

The progress and continuous development of digital communication makes the high-rate data transmission become a research focus of communication system.The recovery of the received signal is largely dependent on the key demodulation algorithm of the receiving system.At the same time,a better demodulation algorithm should be designed to handle complex and variable transmission channels.Amplitude and phase equalization as the core technology in the demodulation algorithm,can effectively reduce the amplitude attenuation,multipath interference on the influence of the signal.In this paper,Algorithm research and test platform is a fully parallel architecture of high-rate communication receiving system.And focuses on the method for compensating for the linear phase distortion and amplitude-phase multiple modulation formats equalization algorithm.The low resource consumption method of parallel amplitude equalization algorithm is designed and its parameter adjustable logic is solved.Finally,a low resource consumption method of parallel amplitude equalization algorithm is designed,and its parameter adjustable logic is solved.Firstly,the technical requirements of high-rate receiving system are outlined.Through the analysis of signal transmission theory and bandwidth,the full parallel architecture of high-rate communication receiving system is designed,and the signal flow of demodulation is introduced.Secondly,we introduce the cepstrum analysis method to compensate the linear phase distortion,and design the cepstrum coefficient calculation program based on the principle of minimum mean square error and maximum error minimization.The amplitude and phase equalization algorithm of single mode and multiple modulo values is designed by analyzing the channel blindness and the simulation.For the single mode,the CMA plus the automatic phase adjustment of the equalization algorithm;and for the multi-mode value,the use of real imaginary dissimilar MMA algorithm.Then,using the iterative convolution decomposition and approximate fuzzy processing method,the parallel logic implementation scheme suitable for this paper is designed,and the feasibility of parallel scheme is verified by MATLAB tool.The implementation of the equalization logic program is implemented in the communication receiving system.The performance of the amplitude-phase equalization algorithm is tested and analyzed.The results show that the amplitude equalization algorithm can make the error vector amplitude less than 10%.