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A code-aided adaptive equalizer using soft decision-directed algorithm and convolutional coding for fading channels

机译:使用软判决定向算法和卷积编码的衰落信道的码辅助自适应均衡器

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We propose to use a soft decision-directed least mean square algorithm in a code-aided equalizer for fading channels. The soft-output Viterbi algorithm is used in decoding the convolutional code used. The soft output is then fed to the equalizer to adjust the tap coefficients (gains) of the equalizer. Simulation and analysis results are presented for bit error rate performance in a multipath environment for various Doppler rates (normalized Doppler rates equal to 0.001, 0.002 and 0.005, respectively). The proposed equalizer provides significant performance improvement in terms of bit error rate compared to other conventional equalization schemes.
机译:我们建议在衰落信道的代码辅助均衡器中使用软判决定向最小均方算法。软输出维特比算法用于解码所使用的卷积码。然后将软输出馈送到均衡器,以调整均衡器的抽头系数(增益)。给出了针对各种多普勒速率(归一化多普勒速率分别等于0.001、0.002和0.005)在多径环境中误码率性能的仿真和分析结果。与其他常规均衡方案相比,所提出的均衡器在误码率方面提供了显着的性能改进。

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