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Discrete Channel Estimation by Integer Passing in Information Bottleneck Graphs

机译:通过整数传递信息瓶颈图进行离散信道估计

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The aim of this work is to develop low complexity receivers with close to optimum performance that circumvent high precision signal processing in the hardware. In particular, we consider receivers that perform all signal processing only on output indices of a quantizer. For such completely integer based receivers this paper introduces a new discrete channel estimation based on integer passing in an Information Bottleneck Graph. Its design principle is the maximization of relevant information with the Information Bottleneck method. The proposed discrete channel estimation reveals new insights into the theory of integer passing in Information Bottleneck Graphs and links integer passing in Information Bottleneck Graphs to the passing of real valued functions in the sum-product algorithm. The performance of the discrete channel estimation is investigated in an earlier introduced discrete receiver chain for low density parity check encoded transmission over flat Rayleigh fading channels.
机译:这项工作的目的是开发具有接近最佳性能的低复杂度接收机,从而避免了硬件中的高精度信号处理。特别地,我们考虑仅对量化器的输出索引执行所有信号处理的接收机。对于这种完全基于整数的接收器,本文介绍了一种基于信息瓶颈图中的整数传递的新离散信道估计。它的设计原理是使用信息瓶颈方法最大化相关信息。提出的离散通道估计揭示了对信息瓶颈图中的整数传递理论的新见解,并将信息瓶颈图中的整数传递与求和积算法中的实值函数的传递联系起来。在较早引入的离散接收器链中研究了离散信道估计的性能,以实现在平坦瑞利衰落信道上的低密度奇偶校验编码传输。

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