部分波段干扰环境下涡轮解码器的鲁棒软判决度量

Arnon Binia, Giora Zilbershatz, R. Gozali
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引用次数: 3

摘要

针对部分频带干扰下的跳频扩频(FHSS)系统,提出了一种鲁棒的turbo译码器软判决度量生成技术。该技术基于信噪比估计器的概率密度函数(pdf),可以使用标准的现成涡轮解码器实现。为了比较,我们评估了硬擦除算法和完全了解信道参数的接收器的性能。结果表明,硬擦除方法在强干扰条件下几乎可以获得最优结果,而在弱干扰条件下则崩溃。我们的鲁棒软决策度量生成技术有助于在强干扰和弱干扰条件下运行,并且在完全了解信道参数的情况下接近接收器的性能1.5 dB。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust soft decision metrics for a turbo decoder in a partial band jammer environment
This paper proposes a robust soft decision metric generation technique for a turbo decoder, operating in a frequency hopping spread spectrum (FHSS) system under partial band jamming conditions. The technique is based on the probability density function (pdf ) of the SNR estimator and can be implemented using a standard off-the-shelf turbo decoder. For comparison purposes we evaluate the performance of a hard eraser algorithm and a receiver with perfect knowledge of channel parameters. Results indicate that a hard eraser method yields almost optimal results under strong jamming conditions while collapsing in weak jamming conditions. Our robust soft decision metric generation technique facilitates operation under both strong and weak jamming conditions and approaches the performance of a receiver with perfect knowledge of channel parameters by 1.5 dB.
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