线性LLR近似LDPC解码使用高斯近似

Xinyi Zhong, Youyun Xu, Kui Xu
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引用次数: 1

摘要

在衰落信道中,不考虑信道状态信息(CSI)的对数似然比(LLR)计算比较复杂。为了降低LLR的计算复杂度,提出了最大容量线性近似(MCLA)。然而,LLR的概率密度函数(PDF)的计算由于数值积分的原因仍然比较复杂。为了克服这一不足,我们提出了一个简单的高斯近似的PDF的LLR。在非相关瑞利衰落信道中,该方法大大降低了算法的计算复杂度,但其误码率仍然非常接近MCLA的误码率。
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Linear LLR approximation for LDPC decoding using a Gaussian approximation
In fading channels, the computation of Loglikelihood ratio (LLR) without channel state information (CSI) is complicated. The maximum capacity linear approximation (MCLA) has been proposed to reduce the computational complexity of LLR. However, the computation of LLR' probability density function (PDF) is still complicated due to numerical integrations. To overcome this shortage, we propose a simple Gaussian approximation to PDF of LLR. Using our proposed method, the computational complexity is significantly reduced and the BER performance is still very close to that of the MCLA in uncorrelated Rayleigh fading channels.
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