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Blind Channel Shortening for Space-Time-Frequency Block Coded MIMO-OFDM Systems

机译:空时频块编码MIMO-OFDM系统的盲信道缩短

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This paper deals with multiple-input multiple-output (MIMO) broadband wireless communication systems, employing orthogonal frequency-division multiplexing (OFDM) with cyclic prefix (CP) in combination with space-time-frequency block coding (STFBC). In order to exploit the benefits of OFDM and STFBC in highly frequency-selective channels, without incurring in a significant increase of receiver complexity, a channel shortening prefilter is inserted at the receiver, aimed at reducing the length of the MIMO channel impulse response before CP removal. Two MIMO channel shorteners are proposed, both relying on linearly-constrained minimization of the mean-output-energy of the signal at the output of the channel shortener, where the linear constraints are optimally chosen so as to maximize the signal-to-noise ratio either at the output of the channel shortener or at the input of the STFBC maximum-likelihood decoder. Unlike other solutions proposed in the literature, these shortening designs are blind ones, i.e., a priori knowledge of the MIMO channel impulse response to be shortened is not required, and can be carried out in closed-form, i.e., iterative computation of the prefilter weights is not necessary. Numerical simulations show that, without a substantial increase in computational complexity, receivers equipped with the proposed blind channel shorteners pay only a negligible performance penalty with respect to non-blind channel shorteners, while being significantly more robust to finite sample-size effects.
机译:本文涉及多输入多输出(MIMO)宽带无线通信系统,该系统采用带有循环前缀(CP)的正交频分复用(OFDM)与空时频块编码(STFBC)相结合。为了在高频率选择的信道中利用OFDM和STFBC的好处,而又不会导致接收器复杂性的显着增加,在接收器处插入了一个信道缩短预滤波器,目的是减少CP之前MIMO信道脉冲响应的长度。去除。提出了两个MIMO信道缩短器,它们都依赖于在信道缩短器输出处信号的平均输出能量的线性约束最小化,其中最优地选择了线性约束以最大化信噪比在通道缩短器的输出端或在STFBC最大似然解码器的输入端。与文献中提出的其他解决方案不同,这些缩短设计是盲目的设计,即不需要先要了解要缩短的MIMO信道脉冲响应,并且可以以封闭形式进行,即对预滤波器进行迭代计算重量是没有必要的。数值模拟表明,在没有显着增加计算复杂度的情况下,配备有所建议的盲信道缩短器的接收器相对于非盲信道缩短器只付出了微不足道的性能损失,同时对有限样本大小的影响却更加健壮。

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