Abstract
It is necessary to use the channel parameters to initialize the iterative decoding in sum-product decoding algorithm of LDPC codes. The channel parameters of the receiver are unknown, so it is essential to estimate the channel parameters or the signal-to-noise ratio (SNR). In this paper, two estimation models are established by the characteristics of the Gaussian channel, and their precision are analyzed; then we use the moment estimation, maximum likelihood estimation and Bayesian estimation respectively to estimate the models mentioned above; finally use the estimated signal-to-noise ratio to decode the LDPC codes by sum-product decoding. Simulation results show that: the result of the estimation model 2 is more accurate than that of the estimation model 1. Using the result of the estimation model 2 to decode the LDPC codes by sum-product decoding, the curve of the decoding results and that of using true value to decode are almost overlapped.
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Xiaobei, L., Jingyi, Z., Rui, W., Yazhou, Z. (2018). LDPC Codes Estimation Model of Decoding Parameter and Realization. In: Barolli, L., Zhang, M., Wang, X. (eds) Advances in Internetworking, Data & Web Technologies. EIDWT 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 6. Springer, Cham. https://doi.org/10.1007/978-3-319-59463-7_24
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DOI: https://doi.org/10.1007/978-3-319-59463-7_24
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