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首页> 外文期刊>International Journal of Advanced Computer Research >Multi-Input Multi-Output Fading Channel Equalization with Constellation Selection and Space-Time Precoders
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Multi-Input Multi-Output Fading Channel Equalization with Constellation Selection and Space-Time Precoders

机译:具有星座选择和空时预编码器的多输入多输出衰落信道均衡

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We consider multiplexing systems in correlated multiple-input multiple-output (MIMO) fading channels with equal power allocated to each transmit antenna. Under several constraints, the number and subset of transmit antennas together with the transmit symbol constellations are determined assuming knowledge of the channel co rrelation matrices. The maximum outage data rate of the SCR receiver is seen to be close to the outage channel capacity. Identification of the channel matrix is of main concern in wireless multiple input multiple output (MIMO) systems. To maximize the SNR, the best way to utilize a MIMO system is to communicate on the top singular vectors of the channel matrix. In this paper we addresses t several issues and the problem of channel tracking and equalization for multi-input multi-output (MIMO) time-varying frequency-selective channels. These channels model the effects of inter-symbol interference (ISI), co-channel interference (CCI), and noise. Via singular value decomposition (SVD) analysis, the precoder is used to be shown to outperform the orthogonal frequency division multiplexing (OFDM) precoder in bit -error-rate (BER), transmission rate, and receiver implementation
机译:我们考虑在相关的多输入多输出(MIMO)衰落信道中使用分配给每个发射天线的功率相等的复用系统。在几个约束条件下,假设了解信道相关矩阵,即可确定发射天线的数量和子集以及发射符号星座。可以看到SCR接收器的最大中断数据速率接近中断信道容量。在无线多输入多输出(MIMO)系统中,信道矩阵的标识是主要关注的问题。为了最大化SNR,利用MIMO系统的最佳方法是在信道矩阵的顶部奇异矢量上进行通信。在本文中,我们解决了多个问题以及多输入多输出(MIMO)时变频率选择信道的信道跟踪和均衡问题。这些信道模拟符号间干扰(ISI),同信道干扰(CCI)和噪声的影响。通过奇异值分解(SVD)分析,预编码器在比特误码率(BER),传输速率和接收器实现方面优于正交频分复用(OFDM)预编码器

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