A New Iterative Decoding Algorithm of Multi-dimensional Product Codes
Han Zhi-hua · Modern Radar · 2007
The multi-dimensional product code can realize the long code and randomization of coding,and its noise equalization is better than that of the two-dimensional.In this paper,a adjustment factor α(m) has been introduced to define the linear superposition feedback,and the computation amount of the algorithm has been greatly decreased by using simple correlation operation in stead of the complicated LLR operation in the conventional product iterative decoding.The simulation result has confirmed that the decoding performance of multi-dimensional product code is more effective than that of two-dimensional product code.