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Perfect Blind-Channel Shortening for Multicarrier Systems

机译:多载波系统的完美盲信道缩短

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In multicarrier systems, when the order of a channel impulse response is larger than the length of the cyclic prefix (CP), there is a significant performance degradation due to interblock interference (IBI). This paper proposes a blind-channel shortening method in which the equalizer parameter vector is formed by the noise subspace of the received signal correlation matrix so that the output power is maximized. The proposed method can not only shorten the effective channel impulse response to within the CP length but also maximize the output signal-to-interference-and-noise ratio while eliminating the IBI. We point out that the performance depends on the choice of a decision delay and propose a simple method for determining the appropriate delay. We propose both a batch algorithm and an adaptive algorithm and show by simulation that they are superior to the conventional algorithms.
机译:在多载波系统中,当信道脉冲响应的阶数大于循环前缀(CP)的长度时,由于块间干扰(IBI),性能会显着下降。本文提出了一种盲信道缩短方法,在该方法中,均衡器参数向量由接收信号相关矩阵的噪声子空间构成,从而使输出功率最大化。所提出的方法不仅可以将有效的信道脉冲响应缩短到CP长度之内,而且可以在消除IBI的同时最大化输出信号的干扰噪声比。我们指出,性能取决于决策延迟的选择,并提出了一种确定适当延迟的简单方法。我们提出了一种批处理算法和一种自适应算法,并通过仿真证明它们优于传统算法。

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