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Improved Turbo Equalization Schemes Robust to SNR Estimation Errors

机译:改进的Turbo均衡方案对SNR估计误差具有鲁棒性

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An improved Max-Log-Map (MLM) turbo equalization algorithm called Scaled Max-Log-Map (SMLM) iterative equalization is presented. Simulations show that the scheme can dramatically outperform the MLM besides it is insensitive to SNR mismatch. Unfortunately, its performance is still much worse than that of Log-Map (LM) with exact SNR over high-loss channels. Accordingly, we also propose a new SNR estimation algorithm based on the reliability values of soft output extrinsic information of SMLM decoder. Using the new scheme, we obtain good performance close to that of LM with ideal knowledge of SNR.
机译:提出了一种改进的Max-Log-Map(MLM)Turbo均衡算法,称为Scaled Max-Log-Map(SMLM)迭代均衡。仿真表明,该方案除了对SNR不匹配不敏感之外,还可以大大优于MLM。不幸的是,它的性能仍然比Log-Map(LM)的性能差很多,后者在高损耗通道上具有精确的SNR。因此,我们还基于SMLM解码器的软输出外部信息的可靠性值,提出了一种新的SNR估计算法。使用新方案,我们在信噪比方面具有理想的知识,可以获得与LM接近的良好性能。

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