未来通信技术的发展迫切需要支持多标准的双模或多模编译码器，目前关于Turbo/LDPC双模译码器的研究还非常有限。本项目将对低复杂度LDPC编译码方法和Turbo/LDPC双模译码方法进行研究。首先研究基于TDMP算法的LDPC码译码器和基于并行LogMAP算法的Turbo码译码器，可实现对码长、码率、帧长、并行度等参数的完全可配置。其次将对基于MAP算法的动态迭代停止准则进行研究，在保证译码性能前提下使译码器迭代次数更少，并基于DDE理论对LDPC码信息进行自动补偿设计。接着将优化的动态迭代扩充到双模下联合迭代中。最后在此基础上利用所设计的一个可配置功能单元（CFU）和数据重组网络单元开发一个可支持双模译码的高效的SISO译码器。设计时将充分利用资源共享，使得该双模SISO运算单元的资源消耗远小于实现相同功能的LDPC码SISO处理单元和Turbo码处理单元之和，降低了系统的复杂度。

In future development of communication technology, it is urgently needed to support multiple standard dual-mode or multi-mode decoder, but currently the research on Turbo/LDPC code dual-mode decoder is very limited. Therefore, the research on low-complexity LDPC encoding/decoding methods and Turbo/LDPC dual-mode decoding method will be conducted in this project. Firstly, the study will focus on LDPC code decoder which is based on TDMP algorithm, and Turbo code decoder based on parallel LogMAP decoding algorithm, in order to fully support the configuration of those parameters like code length, code rate, frame length and parallelism. Secondly, the study will be based on the MAP algorithm dynamic iteration stopping criteria, and under the premise of guaranteeing decoding performance, make the decoder less number of iterations, as well as carry out automatic compensation design of LDPC code based on the DDE theory. Thirdly, the research will extend the dynamic iteration of the optimized decoding method to the combined iteration of the dual-mode. Finally, an efficient SISO decoder which can support dual-mode decode could be developed based on the design of a configurable function unit (CFU) and data reorganization network unit. The design will take full advantage of resource sharing, which will make the resource consumption of dual-mode SISO arithmetic unit far less than the sum of that of LDPC code SISO processing unit and Turbo code processing unit for achieving the same function, and lower the complexity of the system as well.