Optimization Research on Error Correction Codes in Reliable Communication
This article focuses on the optimization problem of error correction codes in communication systems.Firstly,the basic principles of traditional convolutional codes were thoroughly studied.Subsequently,the adaptive perforation optimization method was introduced,aiming to optimize the characteristics of convolutional codes and improve their error correction performance.Finally,an experimental environment was built using MATLAB simulation platform to test and compare the performance of traditional convolutional codes and optimized convolutional codes under different channel conditions.The experimental results show that optimized convolutional codes perform better than traditional convolutional codes under various channel conditions,with lower bit error rates and error rates,verifying the effectiveness and practicality of the optimization method.
communication transmissionerror correction codereliabilityconvolutional codes
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