On the New Stopping Criteria of Iterative Turbo Decoding by Using Decoding Threshold
IEEE Transactions on Signal Processing
Iterative decoding of binary block and convolutional codes
IEEE Transactions on Information Theory
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Since turbo code is adopted as a channel coding scheme by the LTE-A system, how to improve the decoding speed of turbo codes to match the high data rate requirement of LTE-A has become an important issue. In this paper, we present a novel stopping criterion which uses the statistics value of a set of multiple minimum soft decision values as a measure to stop the iterating process of turbo decoder. Simulation results show that our proposed criterion saves more iterations with little loss in BER when compared with several well-known existing criteria, which indicates it is suitable for designing high speed turbo decoder required by LTE-A systems.