Digital Signal Processing Optimization Algorithm for Terahertz Communication Based on Short Convolution Iterative Algorithm and Adaptive Blind Equalization Algorithm
Dingsheng Deng · IOP Conference Series Materials Science and Engineering · 2020
Abstract This paper systematically studies the crosstalk problem caused by the low parallelization rate and tail-to-back tailing in the high-speed digital signal parallel processing in terahertz communication. First, in order to improve the parallelization rate in system application, a high-speed digital signal in the network is filtered in parallel based on a short convolution iterative algorithm for the input signal. Second, an adaptive blind equalization algorithm is proposed to solve the problem crosstalk is used to restore the original signal. Finally, the effectiveness of the equalization algorithm is verified by MATLAB, and the designed algorithm is implemented by Labview simulation software. The effectiveness of the designed algorithm is verified by simulation analysis. The high-speed signal after parallel filtering and equalization can restore the information of the original signal well.