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Low-Complexity Channel Estimation Algorithm for MIMO-OFDM Systems

机译:MIMO-OFDM系统的低复杂度信道估计算法

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One of the main challenges in MIMO-OFDM system to achieve the expected performances in terms of data rate and robustness against multi-path fading channels is the channel estimation. Several methods were proposed in the literature based on either least square (LS) or minimum mean squared error (MMSE) estimators. These methods present high implementation complexity as they require the inversion of large matrices. In order to overcome this problem and to reduce the complexity, this paper presents a solution that benefits from the use of the STBC encoder and transforms the channel estimation process into a set of simple linear operations. The proposed method is evaluated via simulation in AWGN-Rayleigh fading channel. Simulation results show a maximum reduction of 6.85% of the bit error rate (BER) compared to the one obtained with the ideal case where the receiver has a perfect knowledge of the channel.
机译:在针对多径衰落信道的数据速率和鲁棒性方面,要实现预期性能的MIMO-OFDM系统的主要挑战之一是信道估计。文献中基于最小二乘(LS)或最小均方误差(MMSE)估计量提出了几种方法。由于这些方法需要对大型矩阵进行求逆,因此存在很高的实现复杂性。为了克服此问题并降低复杂度,本文提出了一种解决方案,该解决方案受益于STBC编码器的使用,并将信道估计过程转换为一组简单的线性运算。通过在AWGN-Rayleigh衰落信道上的仿真对所提出的方法进行了评估。仿真结果表明,与理想情况下获得的最大误码率相比,误码率(BER)降低了6.85%,在理想情况下,接收器对信道有了全面的了解。

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