Design On Reconfigurable And Environment Self-adaptive Algebraic Soft-decision Reed-solomon Decoders

Due to exceptional capability of correcting both random and burst errors,Reed-Solomon(RS)codes are widely used in various communication systems such as wireless systems,space communication links,and digital subscriber loops as well as in memory and data storage systems.The main decoding methods for RS codes are divided into hard-decision decoding(HDD)and algebraic soft-decision decoding(ASD).Compared with HDD,ASD algorithms can achieve significant coding gain with a little higher complexity,hence the ASD algorithms attract many attentions.Represented by deep-space detection,typical applications of Reed-Solomon(RS)codes have rapidly developed and raised higher requirements for the decoding technologies of RS codes,which include:(1)excellent error correction performance and simple implementation;(2)the ability to automatically adjust decoding parameters to the changeable channel environment with the goal of reasonably balancing the error correction performance,the processing speed and the power dissipation;(3)applicability to different assignments with specific requirements for data transmissions.The previously reported works can't individually achieve all above goals.This dissertation proposes a reduced-complexity multiplicity assignment(RCMA)algorithm.Through the analysis of the original multiplicity assignment algorithm,the properties of bit-level received voltage are found out instead of computing probabilities via complex mathematical operations.The proposed lemmas are verified by detailed proof.On the basis of multiplicity assignment module,an environment self-adaptive module is proposed.This module can adjust decoding parameters according to the current channel,which makes the decoder meet the requirements of error probability as well as keep the best state of data processing speed and efficiency.The multiplicity assignment and the environment self-adaptive module are also implemented in hardware,which is the first hardware implementation of multiplicity assignment in the literature to our best knowledge.In addition,this dissertation proposes a reconfigurable and environment self-adaptive algebraic soft-decision RS decoder based on the existing efficient serial RS decoder,which can satisfy various applications' requirements with the lowest hardware consumption.A large number of channel environment experiments have been simulated using C code in order to get the relationship decoding parameters and the number of error symbols.The reconfigurable and environment self-adaptive algebraic soft-decision RS decoder has been modeled with Verilog HDL and simulated by Modelsim simulator tool.This RS decoder is synthesized,analyzed timing and power consumption by Design Compiler,Prime Time and Prime Time PX with SMIC 0.13 ?m technology library.The results show thatthe reconfigurable and environment self-adaptive algebraic soft-decision RS decoder will demonstrate strong innovation,and can be an effective way to solve the issues faced in the applications of RS codes such as the deep-space detection.Moreover,the proposed decoder can ensure fast and reliable data transmissions under various situations and hence provide a powerful support for the system functioning.The research results are also conducive to expand the application scope of RS codes.