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Bit-Interleaved Coded Modulation with Mismatched Decoding Metrics

机译：解码指标不匹配的比特交织编码调制

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摘要

Bit-interleaved coded modulation (BICM) has become the de facto coding standard for communication systems. Recently, BICM has been cast as a mismatched decoding scheme due to the assumption of independent bit metrics. In addition to this inherent mismatch, practical demodulators may produce mismatched decoding metrics because of implementation constraints, such as clipping and metric approximation to reduce computational complexity. In this paper, we investigate BICM with such metrics. In line with recent works on this topic, we adopt the generalized mutual information (GMI) as the pertinent performance measure. First, we show that level-dependent scaling of logarithmic bit metrics can improve the BICM GMI. Second, we propose a uniform metric scaling which can lead to an improved performance of mismatched sum-product symbol-by-symbol decoding, even if the GMI is not changed. Third, we investigate general metric-mismatch correction methods and analyze their effects in terms of the GMI. By means of three application examples, we illustrate that metric-mismatch correction, including metric scaling, can significantly increase BICM rates.
机译：比特交织编码调制（BICM）已成为通信系统的事实上的编码标准。最近，由于独立比特度量的假设，BICM已被转换为不匹配的解码方案。除了这种固有的失配，实际的解调器可能会由于实现限制（例如削波和度量逼近）而产生失配的解码度量，以减少计算复杂度。在本文中，我们使用此类指标调查BICM。根据有关该主题的最新工作，我们采用广义互信息（GMI）作为相关的绩效指标。首先，我们证明了对数位度量的级别依赖缩放可以改善BICM GMI。其次，我们提出了一种统一的度量标度，即使GMI不变，它也可以提高不匹配的和积逐符号解码的性能。第三，我们研究通用的度量不匹配校正方法，并根据GMI分析其效果。通过三个应用示例，我们说明了度量不匹配校正（包括度量缩放）可以显着提高BICM速率。

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