An Efficient Iterative Decoding Stop Criterion Algorithm for Reducing Computation of Turbo Code

It is well blown about the fact that turbo code has better the BER performance as the number of decoding iterations increases in the AWGN channel environment. However, as the number of decoding iterations is increased under the several channel environments, any further iteration results in very little improvement, and it requires much delay and computation in proportion to the number of decoding iterations. In this paper, it proposes the efficient iterative decoding stop criterion algorithm which can largely reduce the computation and the average number of decoding iterations of turbo code. Through simulations, it is verifying that the proposed algorithm can efficiently stop the iterative decoding by using the variance value of LLR and can largely reduce the computation and the average number of decoding iterations without BER performance degradation. As a result of simulation, the computation for the proposed algerian is reduced by about compared to conventional CE algorithm. The average number of decoding iterations for the proposed algorithm is reduced by about and compared to conventional HDA and SCR algorithm respectively, and by about compared to conventional CE algorithm.