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A max-log-MAP soft demapping algorithm with logarithmic complexity is proposed for -PAM signals. Its algorithm complexity is only for -PAM signals, in contrast to as achieved by the conventional max-log-MAP algorithm using exhaustive search. The algorithm applies to both Gray-coded and natural-coded signals. The max-log-MAP algorithm with logarithmic complexity...
A new syndrome trellis based decoding approach for Turbo coded data is described in this paper. Based on estimating error symbols instead of code symbols, it inherently features options for reducing the computational complexity of the decoding process. After deriving required transition metrics, numerical results in terms of block error rate and required equivalent iterations are presented to demonstrate...
In this paper a syndrome based Low SNR early termination (Low SNR ET) scheme for Turbo decoding is presented. The scheme is based only on hard decision binary computations and is therefore easy to realize. While Low SNR ET is a general principle that can be applied in various scenarios, the focus of this work is on its application in the Long Term Evolution (LTE) system. It is shown that Low SNR ET...
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