Title :
Soft-Output Decoding of Rotationally Invariant Codes Over Channels with Phase Noise
Author :
Barbieri, Alan ; Colavolpe, Giulio
Author_Institution :
Dipt. di Ingegneria dell´´Informazione, Parma Univ.
Abstract :
We consider rotationally invariant (RI) trellis-coded modulations (TCMs) transmitted over channels affected by phase noise. For this problem, we use the framework based on factor graphs (FGs) and the sum-product algorithm (SPA) to derive the exact maximum a posteriori (MAP) symbol detection algorithm. We demonstrate that it can be implemented by a reduced number of forward-backward estimators of the phase probability density function, followed by a symbol-by-symbol completion to compute the a posteriori probabilities of the information symbols. To practically implement the forward-backward phase estimators, we propose a couple of schemes with different complexity. The resulting algorithms exhibit an excellent performance and a limited complexity. The proposed soft-output algorithms can be also used in iterative decoding schemes for concatenated codes employing RI inner components
Keywords :
channel coding; graph theory; maximum likelihood decoding; maximum likelihood detection; phase noise; probability; trellis coded modulation; MAP; TCM; factor graphs; forward-backward estimators; maximum a posteriori symbol detection algorithm; phase noise; phase probability density function; rotationally invariant codes; soft-output decoding; sum-product algorithm; symbol-by-symbol completion; trellis-coded modulations; AWGN; Concatenated codes; Detection algorithms; Iterative algorithms; Iterative decoding; Phase detection; Phase estimation; Phase modulation; Phase noise; Probability density function;
Conference_Titel :
Information Theory, 2006 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
1-4244-0505-X
Electronic_ISBN :
1-4244-0504-1
DOI :
10.1109/ISIT.2006.261661