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差分进化理论在MIMO-OFDM系统机器编码参数优化中的应用

Application of Differential Evolution Theory in MIMO-OFDM System Coding Machine Parameters Optimization
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摘要 在MIMO-OFDM系统中,机器编码不能对不同的编码策略设定合理的控制参数,导致机器编码过程需要消耗大量的时间。提出基于自适应高斯差分进化的方法对机器编码过程进行改进:在机器编码过程中,通过差分进化算法中的个体变异策略和控制参数的有用信息,进行相关参数的自适应调整;同时根据高斯逃逸约束支配编码原则,定义了机器编码的伪可行解。仿真实验表明,将本文改进的编码方法的机器应用于MIMO-OFDM系统中,从MIMO-OFDM系统的操作精确度及编码的扩展性等几方面都有大幅提高,能够解决传统编码过程存在的问题,提升MIMO-OFDM的系统性能。 In MIMO- OFDM systems, machine code can't set proper control parameters for different coding strategy, lead to machine code process need to consume a lot of time. Based on adaptive gauss differential evolution method is put forward to improve the process of machine code: in the process of machine code, through individual variation strategy of differential evolution algorithm and the control parameters of the useful information, related parameters of the adaptive adjustment; At the same time according to the gaussian escape constraint control coding principle, defines the pseudo feasible solution of the machine code. Simulation experiments show that the improved coding method in this paper machine applied in MIMO-OFDM systems, from the operation accuracy of MIMO-OFDM system and coding of the expansibility and so on have greatly increased, can solve the problems existing in the traditional coding, MIMO-OFDM system performance.
作者 杨妮
出处 《科技通报》 北大核心 2016年第2期172-175,共4页 Bulletin of Science and Technology
关键词 MIMO-OFDM 高斯差分进化 机器编码 MIMO-OFDM gaussian differential evolution machine code
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