首页 | 本学科首页   官方微博 | 高级检索  
     


High-throughput VLSI Implementations of Iterative Decoders and Related Code Construction Problems
Authors:Vijay Nagarajan   Stefan Laendner   Nikhil Jayakumar   Olgica Milenkovic  Sunil P. Khatri
Affiliation:(1) University of Colorado, Boulder, CO, USA;(2) Texas A&M University, College Station, TX, USA
Abstract:We describe an efficient, fully-parallel Network of Programmable Logic Array (NPLA)-based realization of iterative decoders for structured LDPC codes. The LDPC codes are developed in tandem with the underlying VLSI implementation technique, without compromising chip design constraints. Two classes of codes are considered: one, based on combinatorial objects derived from difference sets and generalizations of non-averaging sequences, and another, based on progressive edge-growth techniques. The proposed implementation reduces routing congestion, a major issue not addressed in prior work. The operating power, delay and chip-size of the circuits are estimated, indicating that the proposed method significantly outperforms presently used standard-cell based architectures. The described LDPC designs can be modified to accommodate widely different requirements, such as those arising in recording systems, as well as wireless and optical data transmission devices.
Contact Information Sunil P. KhatriEmail:
Keywords:code construction  fully-parallel VLSI implementation  iterative decoding   low-density parity-check codes  network of PLAs
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号