DocumentCode :
1976204
Title :
LDPC-based Gaussian key reconciliation
Author :
Bloch, Matthieu ; Thangaraj, Andrew ; McLaughlin, Steven W. ; Merolla, Jean-Marc
Author_Institution :
GTL-CNRS Telecom, 2-3 rue Marconi 57070 Metz France, Email: mbloch@georgiatech-metz.fr
fYear :
2006
fDate :
13-17 March 2006
Firstpage :
116
Lastpage :
120
Abstract :
We propose a new information reconciliation method which allows two parties sharing continuous random variables to agree on a common bit string. We show that existing coded modulation techniques can be adapted for reconciliation and give an explicit code construction based on LDPC codes in the case of Gaussian variables. Simulations show that our method achieves higher efficiency than previously reported results.
Keywords :
Decoding; Error correction; Modulation coding; Noise reduction; Parity check codes; Privacy; Protocols; Quantization; Random variables; Telecommunications;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory Workshop, 2006. ITW '06 Punta del Este. IEEE
Conference_Location :
Punta del Este, Uruguay
Print_ISBN :
1-4244-0035-X
Electronic_ISBN :
1-4244-0036-8
Type :
conf
DOI :
10.1109/ITW.2006.1633793
Filename :
1633793
Link To Document :
بازگشت