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首页> 外文期刊>Journal of applied sciences research >Adaptive Diversity Combining Scheme and Channel Estimation for ISI Channel inImpulsive Noise Environment
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Adaptive Diversity Combining Scheme and Channel Estimation for ISI Channel inImpulsive Noise Environment

机译:脉冲噪声环境下ISI信道的自适应分集组合方案和信道估计

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摘要

Most of the generalized selection combining (GSC) schemes are developed assuming the noise is additive white Gaussian (AWGN). AWGN model realistically represents the thermal noise at the receiver, but ignores the impulsive nature of atmospheric noise, electromagnetic interference, or man-made noise which might be dominant in many practical applications. Moreover most of the GSC schemes are developed for slow flat fading channel. However, in practice, most wireless channels of the communication systems, such as mobile radio, are time varying frequency selective fading channels. In this paper, an adaptive GSC receiver that uses multiple antennas to provide diversity against fading is developed for time varying frequency selective fading channel contaminated with class-A impulsive noise. The receiver adaptively selects and combines a subset of diversity branches out of the available branches and discards the others. This is performed by comparing the maximum likelihood (ML) metric of each diversity branch with a threshold. The branches that exceed the threshold are selected and combined. The proposed GSC receiver dynamically adjusts the threshold value according to the time variations of the channel. Since the noise is impulsive, channel estimation is performed by sign algorithm which is more stable than LMS algorithm in presence of strong impulsiveness of the noise.
机译:大多数通用选择组合(GSC)方案都是在假设噪声为加性白高斯(AWGN)的情况下开发的。 AWGN模型实际上代表了接收器处的热噪声,但是忽略了大气噪声,电磁干扰或人为噪声的脉冲特性,这些噪声在许多实际应用中可能占主导。此外,大多数GSC方案都是针对慢速平坦衰落信道而开发的。但是,实际上,通信系统的大多数无线信道,例如移动无线电,都是时变频率选择性衰落信道。在本文中,针对被A类脉冲噪声污染的时变频率选择性衰落信道,开发了一种使用多个天线来提供抗衰落多样性的自适应GSC接收机。接收机从可用分支中自适应地选择并组合分集分支的子集,并丢弃其他子集。通过将每个分集分支的最大似然(ML)度量与阈值进行比较来执行此操作。选择并合并超过阈值的分支。所提出的GSC接收机根据信道的时间变化动态地调整阈值。由于噪声是脉冲性的,因此在存在强烈脉冲性的情况下,通过符号算法执行信道估计,该符号算法比LMS算法更稳定。

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