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ANN based Rayleigh multipath fading channel estimation of a MIMO-OFDM system

机译:MIMO-OFDM系统中基于ANN的瑞利多径衰落信道估计

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Multiple-Input Multiple-Output (MIMO) technology using Orthogonal Frequency Division Multiplexing (OFDM) together called MIMO-OFDM has emerged as the viable alterative to meet the demands of greater bandwidth and quality of service of the ever expanding mobile communication networks. For MIMO-OFDM systems channel estimation is one of the challenging issues. Statistical characteristics of wireless channels is partially covered by the Rayleigh distribution. It best represents the condition where there are secondary reflections due to high rise structures are always threatening to degrade communication quality. An ANN can be used to provide an estimate of the channel to minimize some of the deficiencies of multi-user transmission under Rayleigh multipath fading. The ANN can be trained to tackle such fading and associated disturbance and improve reception of MIMO-OFDM systems by providing superior Bit Error Rate (BER)s.
机译:使用正交频分复用(OFDM)的多输入多输出(MIMO)技术(称为MIMO-OFDM)已成为满足不断扩展的移动通信网络对更大带宽和更高服务质量要求的可行替代方案。对于MIMO-OFDM系统,信道估计是具有挑战性的问题之一。无线信道的统计特性被瑞利分布部分覆盖。它最能代表由于高层结构而产生二次反射的情况,这种情况总是威胁到通信质量的下降。可以使用ANN来提供信道估计,以最大程度地减少瑞利多径衰落下多用户传输的某些缺陷。可以训练ANN以解决此类衰落和相关干扰,并通过提供出色的误码率(BER)来改善MIMO-OFDM系统的接收。

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