Title :
Linear LLR approximation for LDPC decoding using a Gaussian approximation
Author :
Xinyi Zhong ; Youyun Xu ; Kui Xu
Author_Institution :
Coll. of Commun. Eng., PLAUST, Nanjing, China
Abstract :
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.
Keywords :
Rayleigh channels; approximation theory; computational complexity; decoding; error statistics; parity check codes; probability; BER; Gaussian approximation; LDPC decoding; MCLA; PDF; bit error rate; channel state information; computational complexity; linear LLR approximation; log likelihood ratio; maximum capacity linear approximation; probability density function; uncorrelated Rayleigh fading channels; Bit error rate; Computational complexity; Fading; Gaussian approximation; Parity check codes; Probability density function; Silicon;
Conference_Titel :
Information Science and Technology (ICIST), 2013 International Conference on
Conference_Location :
Yangzhou
Print_ISBN :
978-1-4673-5137-9
DOI :
10.1109/ICIST.2013.6747759