Title :
Structured LDPC codes for high-density recording: large girth and low error floor
Author :
Lu, J. ; Moura, J.M.F.
Author_Institution :
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
Abstract :
High-rate low-density parity-check (LDPC) codes are the focus of intense research in magnetic recording because, when decoded by the iterative sum-product algorithm, they show decoding performance close to the Shannon capacity. However, cycles, especially short cycles, are harmful to LDPC codes. The paper describes the partition-and-shift LDPC (PS-LDPC) codes, a new class of regular, structured LDPC codes that can be designed with large girth and arbitrary large minimum distance. Large girth leads to more efficient iterative decoding and codes with better error-floor properties than random LDPC codes. PS-LDPC codes can be designed for any desired column weight and with flexible code rates. The paper details the girth and distance properties of the codes and their systematic construction and presents analytical and simulation performance results that show that, in the high signal-to-noise ratio region, PS-LDPC codes outperform random codes, alleviating the error floor phenomenon.
Keywords :
error statistics; iterative decoding; magnetic recording; parity check codes; Shannon capacity; column weight; decoding performance; distance property; error floor phenomenon; error-floor properties; flexible code rates; girth property; high-density recording; iterative codes; iterative decoding; iterative sum-product algorithm; magnetic recording; partition-and-shift LDPC codes; simulation performance; systematic construction; Analytical models; Computer errors; Floors; Iterative decoding; Magnetic recording; Parity check codes; Performance analysis; Signal analysis; Signal to noise ratio; Sum product algorithm; Girth; LDPC code;
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2005.861748