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A Parallel Turbo Decoder Based on Recurrent Neural Network
A neural network-based decoder, based on a long short-term memory (LSTM) network, is proposed to solve the problem of high decoding delay caused by the poor parallelism of existing decoding algorithms for turbo codes. The powerful parallel computing and feature learning ability of neural networks can reduce the decoding delay of turbo codes and bit error rates simultaneously. The proposed decoder refers to a unique component coding concept of turbo codes. First, each component decoder isdoi:10.21203/rs.3.rs-831836/v1 fatcat:y2iljqafmnfsrhs6dq7encpsb4