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An Iterative Method for Blind Equalization of Multiple FIR Channels

机译:多个FIR通道盲均衡的迭代方法

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摘要

This paper proposes a direct blind equalization algorithm based on the multiple-shift correlation (MSC) property of the received data. Employing adaptive beamforming technique, we develope a partially adaptive channel equalizer (PACE) which allows the number of the adaptive weights to be less than the number of all the channel parameters. The PACE is with fast convergence speed and low implementation complexity. This paper also analyzes the effect of mismatch of channel order estimation due to small head and tail of the channel impulse response. From the analysis, we show the performance degradation is a function of the optimal output signal-to-interference plus noise ratio (SINR), the optimal output power and the control vector. We also propose a simple iterative method to reudce the performance degradation. Analysis of this proposed iterative method is also performed. Some simulation examples are demonstrated to show the effectiveness of the proposed blind channel equalizer and the performance analysis.
机译:本文提出了一种基于接收数据的多移位相关(MSC)特性的直接盲均衡算法。利用自适应波束成形技术,我们开发了一种部分自适应信道均衡器(PACE),该均衡器允许自适应权重的数量小于所有信道参数的数量。 PACE收敛速度快,实现复杂度低。本文还分析了由于信道脉冲响应的头和尾较小而导致的信道阶数估计不匹配的影响。从分析中可以看出,性能下降是最佳输出信号干扰加噪声比(SINR),最佳输出功率和控制向量的函数。我们还提出了一种简单的迭代方法来减少性能下降。还对该提议的迭代方法进行了分析。仿真实例表明了所提出的盲通道均衡器的有效性和性能分析。

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