Research On Iterative Decoding Of Serially Concatenated System

This dissertation mainly studies the iterative decoding algorithms in typical serial concatenated systems based on Turbo principle. Firstly, the SCCC decoding scheme is described, followed by the derivation of the MAP algorithm based on the trellis gragh. According to it, the general structure of the SISO is presented. Secondly, the Euclidean distances of the BICM and BICM-ID are formulated, which are used to analysis the performance under different channels and constellation modulations. Thirdly, the realization and performace of Turbo equalizer are studied. The general frame of Turbo equalization is obtained through comparing the MAPEQU with the SCCC decoding algorithm. Three algorithms including Soft ISI Cancellation, linear equalization and decision feedback equalization based on MMSE are presented. Finally, a scheme using the double objects programming based on SDR is purposed, and applied to the given concatenated code. Every chapter the simulation results are provided to prove the corresponding conclusions.