Title
Stopping criteria for iterative decoding based on mutual information
Abstract
In this paper we investigate stopping criteria for iterative decoding from a mutual information perspective. We introduce new iteration stopping rules based on an approximation of the mutual information between encoded bits and decoder soft output. The first type stopping rule sets a threshold value directly on the approximated mutual information for terminating decoding. The threshold can be adjusted according to the expected bit error rate. The second one adopts a strategy similar to that of the well known cross-entropy stopping rule by applying a fixed threshold on the ratio of a simple metric obtained after each iteration over that of the first iteration. Compared with several well known stopping rules, the new methods achieve higher efficiency.
Year
DOI
Venue
2012
10.1109/ACSSC.2012.6488985
Signals, Systems and Computers
Keywords
DocType
Volume
bit error rate,approximated mutual information,encoded bits,fixed threshold,iteration stopping rules,iterative decoding,terminating decoding,decoder soft output,iteration stopping rule,mutual information,error statistics
Conference
abs/1302.1461
ISSN
ISBN
Citations 
1058-6393
978-1-4673-5050-1
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Jinhong Wu182.55
Branimir R. Vojcic217014.48
Jia Sheng3594.69