An area efficient and high throughput implementation of layered min-sum iterative construction a posteriori probability LDPC decoder.

ABSTRACT: Area efficient and high speed forward error correcting codes decoder are the demand of many high speed next generation communication standards. This paper explores a low complexity decoding algorithm of low density parity check codes, called the min-sum iterative construction a posteriori probability (MS-IC-APP), for this purpose. We performed the error performance analysis of MS-IC-APP for a (648,1296) regular QC-LDPC code and proposed an area and throughput optimized hardware implementation of MS-IC-APP. We proposed to use the layered scheduling of MS-IC-APP and performed other optimizations at architecture level to reduce the area and to increase the throughput of the decoder. Synthesis results show 6.95 times less area and 4 times high throughput as compared to the standard min-sum dec

SUBMITTER: Raza H 

PROVIDER: S-EPMC8007033 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature