Nonlinear equalization method based on variable step generalized orthogonal matching pursuit algorithm and applied to underwater wireless optical communication system

Abstract

The invention belongs to the technical field of underwater wireless optical communication, and discloses a nonlinear equalization method based on a variable-step generalized orthogonal matching pursuit algorithm, which is applied to an underwater wireless optical communication system and is used for deeply analyzing the nonlinear equalization method in the underwater wireless optical communication system and compressing a complex nonlinear equalizer. On the basis of using a Volterra series model equalizer, a variable step generalized orthogonal matching algorithm is introduced to compress the equalizer, the complexity of the equalizer is reduced and the operation time of the compression process is shortened by reducing the parameters of the equalizer and using a variable iteration step length mode. The sparse nonlinear equalizer can still effectively suppress inter-symbol interference and nonlinear damage of the system. According to the method, nonlinear distortion of signals caused by a complex channel environment in current underwater wireless optical communication can be effectively compensated, the bit error rate of the system is reduced. Meanwhile, the calculation overhead is remarkably reduced, the performance of the method is verified through experiments, and the method has practical significance.

Description

[0001] manual technical field [0002] The present invention relates to the technical field of underwater wireless optical communication, and more specifically, relates to a nonlinear equalization method based on a variable step size generalized orthogonal matching pursuit algorithm applied to an underwater wireless optical communication system. Background technique [0003] In recent years, due to the increasing shortage of land resources, ocean exploration has gradually attracted the attention of various countries. With the rapid development of the ocean industry, the amount of ocean data collected by underwater submersibles, nodes and other equipment is increasing day by day. Realizing high-speed, real-time transmission and intelligent processing of ocean big data has become one of the current research priorities of ocean information. [0004] Traditional wired communication methods such as optical fiber and cable are more reliable, but due to the large contact area with ...

AI Technical Summary

Problems solved by technology

As the residual decreases, the sparsity of the Volterra equalizer changes, and the fixed-step Orthogonal Matching Pursuit (OMP) and Generalized Orthogonal Matching Pursuit (gOMP) algorithms require large computational overhead

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