Low complexity piecewise linear LLR calculation for MIMO-BICM systems

Chao Zheng, R. Yazdani, M. Ardakani
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引用次数: 1

Abstract

Log-likelihood ratios (LLRs) are efficient metrics used in the decoding of modern channel codes such as low-density parity-check and turbo codes. LLR calculation, however, can be a complex task since LLRs are usually complicated nonlinear functions of the channel output. In multi-input multioutput (MIMO) channels, the complexity of the calculation increases exponentially with the number of antennas. In this paper, an LLR approximation method is proposed for MIMO-BICM systems. In particular, piecewise linear approximation functions are introduced and an accuracy measure is provided to optimize the parameters. Simulations verify that the performance of the optimized approximate LLRs is better than the existing approximation method and quite close to that of true LLRs.
MIMO-BICM系统的低复杂度分段线性LLR计算
对数似然比(llr)是用于解码现代信道码(如低密度奇偶校验码和turbo码)的有效度量。然而,LLR的计算可能是一项复杂的任务,因为LLR通常是通道输出的复杂非线性函数。在多输入多输出(MIMO)信道中,计算复杂度随着天线数量的增加呈指数增长。本文提出了一种适用于MIMO-BICM系统的LLR逼近方法。特别地,引入了分段线性逼近函数,并提供了一种精度度量来优化参数。仿真结果表明,优化后的近似llr的性能优于现有的近似方法,与真实llr的性能相当接近。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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