A High-Throughput Programmable Decoder for LDPC Convolutional Codes

In this paper, we present and analyze a novel decoder architecture for LDPC convolutional codes (LDPCCCs). The proposed architecture enables high throughput and can be programmed to decode different codes and blocklengths, which might be necessary to cope with the requirements of future communication systems. To achieve high throughput, the SIMD paradigm is applied on the regular graph structure typical to LDPCCCs. We also present the main components of the proposed architecture and analyze its programmability. Finally, synthesis results for a prototype ASIC show that the architecture is capable of achieving decoding throughputs of several hundreds MBits/s with attractive complexity and power consumption.

• Type: Conference
• Year: 2007
• Where: ASAP
• Authors: Marcel Bimberg, Marcos B. S. Tavares, Emil Matús, Gerhard Fettweis
• Keywords: Architecture, ASAP 2007, Distributed And Parallel Computing, LDPC Convolutional Codes, Regular Graph Structure