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Research about improving the BER performance of Turbo decoding based on SNR

机译:基于信噪比提高Turbo解码误码性能的研究

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摘要

SNR (Signal-Noise Rate) is one of the significant parameters in modern wireless communication system, it doesn't only reflect the influence degree to useful signal caused by noise but is also the indispensable feedback information to improving signal quality. The MAP decoding algorithm of Turbo which has been adopted in LTE system is sensitive to deviation of the SNR estimation, thus this paper deals with a new algorithm for the SNR estimation to ameliorate the performance in terms of BER (Bit Error Rate) of T urbo decoding. Confirmed by Matlab simulation that this SNR estimation algorithm can reduce the bit error rate of Turbo decoding.
机译:SNR(信噪比)是现代无线通信系统中的重要参数之一,它不仅反映了噪声对有用信号的影响程度,而且还是提高信号质量必不可少的反馈信息。 LTE系统中采用的Turbo的MAP解码算法对SNR估计的偏差敏感,因此本文针对SNR估计提出了一种新算法,以改善T urbo的误码率(BER)的性能。解码。通过Matlab仿真证实,该SNR估计算法可以降低Turbo解码的误码率。

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