Title :
LDPC decoding and code design on extrinsic trees
Author :
Psota, Eric ; Perez, Lance C.
Author_Institution :
Dept. of Electr. Eng., Univ. of Nebraska-Lincoln, Lincoln, NE, USA
fDate :
June 28 2009-July 3 2009
Abstract :
Extrinsic tree decoding of low-density parity-check codes operates on modified, finite computation trees created from the Tanner graph of the code. The goal of the extrinsic tree algorithm is to maintain or improve the performance of existing iterative decoders, while providing a decoding algorithm for which upper bounds can be computed. The extrinsic tree algorithm is examined, along with the design of parity-check matrices on which the extrinsic tree decoder performs well.
Keywords :
decoding; parity check codes; tree codes; LDPC decoding; Tanner graph; code design; extrinsic tree decoding; finite computation trees; low-density parity-check codes; parity-check matrices; Additive white noise; Algorithm design and analysis; Costs; Iterative algorithms; Iterative decoding; Parity check codes; Performance analysis; Reactive power; Tree graphs; Upper bound;
Conference_Titel :
Information Theory, 2009. ISIT 2009. IEEE International Symposium on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-4312-3
Electronic_ISBN :
978-1-4244-4313-0
DOI :
10.1109/ISIT.2009.5205794