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A Space–Time Receiver With Joint Synchronization and Interference Cancellation in Asynchronous MIMO-OFDM Systems

机译:异步MIMO-OFDM系统中具有联合同步和干扰消除的空时接收机

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摘要

We consider the scenario in which multiple transmitters send signals to a receiver in the asynchronous multiple-input–multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) mode. A receiver structure that can perform joint synchronization and space–time equalization for the asynchronous MIMO-OFDM systems is proposed. We first introduce a novel space–time equalization algorithm based on the channel state information. This algorithm aims to null the cochannel interference and combat asynchronism, as well as minimize a lower bound to the symbol error rate in the asynchronous MIMO-OFDM system. In the second part of this paper, we propose a training-based minimizing mean-square-error (MMSE) algorithm to jointly obtain frequency offsets and equalization delays. We compensate for the effects of the frequency offsets and the propagation delays with these estimated parameters and then use the proposed direct training-based equalizer design algorithm to obtain the equalizer coefficients. The simulation section illustrates the desirable bit-error-rate (BER) performance of our proposed algorithms.
机译:我们考虑了以下情形:多个发送器以异步多输入多输出正交频分复用(MIMO-OFDM)模式向接收器发送信号。提出了一种可以为异步MIMO-OFDM系统执行联合同步和空时均衡的接收机结构。我们首先介绍一种基于信道状态信息的新型时空均衡算法。该算法旨在消除同信道干扰并消除异步性,并最小化异步MIMO-OFDM系统中符号错误率的下限。在本文的第二部分,我们提出了一种基于训练的最小均方误差(MMSE)算法,以共同获得频率偏移和均衡延迟。我们用这些估计的参数补偿频率偏移和传播延迟的影响,然后使用提出的基于直接训练的均衡器设计算法来获得均衡器系数。仿真部分说明了我们提出的算法的理想误码率(BER)性能。

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