Title :
A new binary iterative LDPC decoding algorithm
Author :
Yue, Guosen ; Wang, Xiaodong
Author_Institution :
NEC Labs. America, Inc., Princeton, NJ
Abstract :
We introduce a new binary message-passing decoding method for low-density parity-check (LDPC) codes. The proposed decoding principle does not require the degree information of variable nodes and can be applied to both time invariant and time-variant decoding algorithms. We present the extrinsic error probability analysis and decoding threshold optimization for the new decoding method in both time-invariant and time-variant decoding scenarios. Both theoretical analysis and numerical results show that the proposed method provides the same performance as the existing methods for both time-invariant and time-variant decoding, while the proposed new method facilitates efficient circuit implementations of the LDPC decoder since it does not require the degree information.
Keywords :
binary codes; error statistics; iterative decoding; message passing; parity check codes; binary iterative LDPC decoding algorithm; binary message-passing decoding method; decoding threshold optimization; extrinsic error probability analysis; low-density parity-check codes; time invariant decoding algorithm; time-variant decoding; Circuits; Error analysis; Information retrieval; Iterative algorithms; Iterative decoding; Laboratories; National electric code; Optimization methods; Parity check codes; Turbo codes;
Conference_Titel :
Turbo Codes and Related Topics, 2008 5th International Symposium on
Conference_Location :
Lausanne
Print_ISBN :
978-1-4244-2862-5
Electronic_ISBN :
978-1-4244-2863-2
DOI :
10.1109/TURBOCODING.2008.4658687