Iterative Decoding Structure Design of LPCA-Turbo

An improved decoding structure of LPCA-Turbo (Linear Prediction Control Algorithm, Turbo code) is presented in this paper. A linear module established by the values of the former exterior information of the component decoder could be equivalent to the SISO module. By the linear module the value of No(n+1) exterior information could be predicted. The computation quantity and time of the LPCA will be smaller than the traditional decoding algorithm. Therefore, the complexity and delay of the decoding algorithm can be reduced by the new decoding scheme presented in this paper. What is shown in the simulation result is that while the error-rate performance of the new decoding structure based on LPCA is only lower by 0.1-0.2dB than the traditional Turbo decoding structure, a decoding iterative process of the component decoder could be reduced in the LPCA-Turbo.