Title :
Performance of soft-in soft-out stack decoding
Author :
Sivasankaran, Ravi ; McLaughlin, Steven W.
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
In this paper, we discuss sequential decoding of recursive systematic convolutional codes using a modified stack decoding technique. The classical stack decoder is extended to generate a twin stack decoder. The motivation for the twin stack decoder is to get soft information from a stack decoder. We present some performance predictors for various constraint lengths of the encoder, with and without side information, and compare it with actual simulation results
Keywords :
convolutional codes; sequential decoding; constraint lengths; performance predictors; recursive systematic convolutional codes; sequential decoding; side information; soft-in soft-out stack decoding; twin stack decoder; AWGN channels; Bridges; Convolutional codes; Error probability; Iterative decoding; Predictive models; Reliability theory; Transmitters; Upper bound; Viterbi algorithm;
Conference_Titel :
Information Theory, 2001. Proceedings. 2001 IEEE International Symposium on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-7123-2
DOI :
10.1109/ISIT.2001.936097
