Title :
A simplified BGT MAP algorithm and its dual
Author :
Wang, Sichun ; Patenaude, Francois
Author_Institution :
Commun. Res. Centre, Ottawa, Ont., Canada
Abstract :
In this paper, the modified BCJR MAP algorithm derived in Berrou,C et al., (1996) is simplified, resulting in a new MAP algorithm for recursive systematic convolutional codes. This new MAP algorithm is called the SBGT MAP algorithm in order to distinguish it from its original formulation in Berrou,C et al., (1996) (called the BGT MAP algorithm) and other modified versions of the BCJR MAP algorithm. A dual version of the SBGT MAP algorithm, called the dual SBGT MAP algorithm, is then derived. These two mutually dual algorithms have the same signal processing requirements in terms of memory utilization and computational load and have demonstrated almost identical BER performance in computer simulations.
Keywords :
convolutional codes; iterative decoding; turbo codes; BER performance; memory utilization; modified BCJR MAP algorithm; mutually dual algorithms; recursive systematic convolutional codes; signal processing requirements; simplified BGT MAP algorithm; Algorithm design and analysis; Bit error rate; Communication industry; Computer simulation; Convolutional codes; Information theory; Iterative algorithms; Iterative decoding; Signal processing algorithms; Turbo codes;
Conference_Titel :
Communications, Computers and signal Processing, 2003. PACRIM. 2003 IEEE Pacific Rim Conference on
Print_ISBN :
0-7803-7978-0
DOI :
10.1109/PACRIM.2003.1235942