New decoding scheme for LDPC codes based on simple product code structure

Computer Science – Information Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which th

Scientific paper

In this paper, a new decoding scheme for low-density parity-check (LDPC) codes using the concept of simple product code structure is proposed based on combining two independently received soft-decision data for the same codeword. LDPC codes act as horizontal codes of the product codes and simple algebraic codes are used as vertical codes to help decoding of the LDPC codes. The decoding capability of the proposed decoding scheme is defined and analyzed using the paritycheck matrices of vertical codes and especially the combined-decodability is derived for the case of single parity-check (SPC) and Hamming codes being used as vertical codes. It is also shown that the proposed decoding scheme achieves much better error-correcting capability in high signal to noise ratio (SNR) region with low additional decoding complexity, compared with a conventional decoding scheme.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

New decoding scheme for LDPC codes based on simple product code structure does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with New decoding scheme for LDPC codes based on simple product code structure, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and New decoding scheme for LDPC codes based on simple product code structure will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-212071

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.