Research on Blind equalization method of variable step size neural network in underwater acoustic communication

Abstract

In the construction and development of modern society, how to ensure the high efficiency and safety of underwater communication is the main issue discussed by researchers. Among them, the underwater acoustic channel as a very complex variable parameter channel, the actual frequency band is limited, the signal fluctuation and fading is more serious, which directly affects the efficiency and quality of underwater information transmission. As one of the effective methods to solve this problem, channel equalization technology is the main content of the empirical analysis of scholars. Therefore, on the basis of understanding the theory of underwater acoustic communication and blind equalization technology, this paper compares and analyzes the convergence performance of the traditional constant mode blind equalization algorithm and the new variable step constant mode blind equalization algorithm. The final research results show that the improved algorithm has higher convergence than the traditional algorithm, and can reduce the transmission error and improve the quality of aquatic communication.