DocumentCode :
2052961
Title :
Bayesian and nonBayesian methods for iterative joint decoding and detection in the presence of phase noise
Author :
Colavolpe, Giulio ; Barbieri, Alan ; Caire, Giuseppe ; Bonneau, Nicolas
Author_Institution :
Dipt. di Ingegneria dell´´ Informazione, Parma Univ., Italy
fYear :
2004
fDate :
27 June-2 July 2004
Firstpage :
131
Abstract :
This paper proposes new algorithms for joint iterative decoding and parameter estimation in Bayesian and nonBayesian method. The low-density parity-check (LDPC) codes in the presence of phase noise is focused in this paper. The nonBayesian algorithm for an unknown phase channel is based on the application of the expectation-maximization (EM) algorithm. The proposed Bayesian algorithms are obtained as an application of the sum-product algorithm to the factor graph. Comparing the performance of the considered algorithms in the case of LDPC code, the EM-KL (EM-Karhunen-Loeve) algorithm performs better than EM-SW (sliding window) algorithm.
Keywords :
Karhunen-Loeve transforms; graph theory; iterative decoding; optimisation; parameter estimation; parity check codes; phase noise; Bayesian algorithm; EM algorithm; LDPC; expectation-maximization Karhunen-Loeve algorithm; factor graph; joint iterative decoding; low-density parity-check code; nonBayesian algorithm; parameter estimation; phase channel; phase noise; sum-product algorithm; AWGN; Bayesian methods; Iterative algorithms; Iterative decoding; Parameter estimation; Parity check codes; Phase detection; Phase modulation; Phase noise; Turbo codes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on
Print_ISBN :
0-7803-8280-3
Type :
conf
DOI :
10.1109/ISIT.2004.1365166
Filename :
1365166
Link To Document :
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