Architecture and finite precision optimization for layered LDPC Decoders
Résumé
Layered decoding is known to provide efficient and high-throughput implementation of LDPC decoders. However, two main issues affect performance and area of practical implementations: quantization and memory. Quantization can strongly degrade performance and memory area can constitute up to 70% of the total area of the decoder implementation. This is the case of the DVB-S2,-T2 and -C2 decoders when considering long frames. This paper is then dedicated to the optimization of these decoders. We first focus on the reduction of the number of quantization bits and propose solutions based on the efficient saturation of the channel values, the extrinsic messages and the a posteriori probabilities (APP). We reduce from 6 to 5 the number of quatization bits for the channel and the extrinsic messages and from 8 to 6 the APPs, without introducing any performance loss. We then consider the optimization of the size of the extrinsic memory, based on the multiple code rates considered by the decoder. The paper finally presents an optimized fixed-point architecture of a DVB-S2 layered decoder and its implementation on an FPGA devide.