Abstract
Low-density parity check (LDPC) codes are the capacity approaching codes having better decoding performance closer to Shannon’s limit. The performance of the LDPC codes depends on the block length, code rate, structure of parity check matrix (H-matrix), and on the decoding process. Various code construction methods are structured including Quasi-cyclic-irregular parity check matrix to improve the performance of the LDPC codes. Cellular Automata are a computational method that realizes the complex computational blocks into simple, regular, and modular structures. In this paper, the cellular automata-based LDPC parity check matrix with hierarchical diagonal parity check matrix structure has been incorporated in the decoder design. Error performance improvement of 0.0417 dB is obtained with HDPCM-based LDPC decoder using cellular automata. Performance analysis on increased code length validates the proposed LDPC decoder with the improved decoding performance.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
