基于遗传算法和粒子群算法在MIMO检测中的应用

S. Pathan, D. Panwar
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引用次数: 0

摘要

LTE系统由MIMO-OFDM技术组成,该技术已广泛应用于4G时代的高速通信。5克。MIMO接收机设计中遇到的一个难点:噪声环境下信号的检测传输信号的大MIMO环境。为了使接收机的概率设计误差最小,需要考虑理论误差;实际的困难。然而,有了这种设计,接收器将变得更加复杂。MLD &VBLAST是信号检测的最佳方法,但随着调制阶数的增加。发射天线数量复杂性增加。本文证明了GA &粒子群算法将降低计算复杂度;将提高收敛速度& &;将检测LTE信号,它将提供接近最佳的误码率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of GA & PSO Based Algorithm in MIMO Detection
LTE system consist of MIMO-OFDM technology which have been widely used for high speed communication in 4G & 5G. A difficulty encountered in design of MIMO Receiver in detecting of signal in noisy & large MIMO environment of the transmitted signal. To get minimum error of probability designing of a receiver is required by considering theoretical & practical difficulties. However, with this design receiver will become more complex. MLD &VBLAST is the optimal method for signal detection but with increase in modulation order & transmit antenna amount complexity increases. This paper shows that GA & PSO algorithm will reduce computational complexity & will increase convergence speed & will detect signal of LTE it will give near optimal bit error rate.
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