DocumentCode
2987200
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
fYear
2009
fDate
June 28 2009-July 3 2009
Firstpage
2161
Lastpage
2165
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ISIT.2009.5205794
Filename
5205794
Link To Document