In order to reduce inter-symbol crosstalk in digital baseband transmission systems,the least mean square algorithm adaptive filtering is currently mainly used.However,since parameters such as filter order and step size need to be determined based on experience or repeated experiments,the most suitable values can be determined.There may be situations where a system only performs better under certain circumstances.To this end,this article first proposes an improved variable step least mean square algorithm based on particle swarm optimization by applying the particle swarm optimization algo-rithm to the improved variable step least mean square algorithm.Based on this,a digital baseband transmission system using an improved variable-step minimum mean square algorithm based on parti-cle swarm optimization was designed.The algorithm can adaptively change the filter order and step size according to specific conditions,allowing the system to operate in any noisy environment.Appropriate filter orders and step sizes are used to reduce the bit error rate,obtain better performance and a wider range of applicable environments.
关键词
数字通信系统/数字基带传输系统/变步长最小均方算法/粒子群优化算法/误码率
Key words
digital communication system/digital baseband transmission system/variable-step-size least mean square algorithm/particle swarm optimization/symbol error rate
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