DocumentCode :
2950559
Title :
Phase Noise Mitigation in Serially Concatenated Continuous Phase Modulation with the Sum-Product Algorithm
Author :
Bokolamulla, Dhammika ; Lim, T.J. ; Aulin, Tor M.
Author_Institution :
Dept. of Comput. Eng., Chalmers Univ. of Technol., Goteborg
fYear :
2006
fDate :
9-14 July 2006
Firstpage :
2859
Lastpage :
2863
Abstract :
We use the sum-product algorithm to handle the problem of phase noise (PN) in the detection of a serially concatenated continuous phase modulated system. Although optimal performance is not assured due to the loopy nature of the factor graph describing the problem, as well as simplifications made in the algorithm development, simulations show that significant performance gains are possible, and the gap between systems with and without PN can be reduced to about 1 dB using the proposed method. The increase in complexity compared to ignoring PN is small, and no periodic pilot symbols are inserted within a code word, although we assume the availability of a phase-locking mechanism to set the initial phase offset to a small range around zero. We use a different Gaussian approximation from what has been previously proposed, and this results in a less complex algorithm
Keywords :
Gaussian processes; approximation theory; continuous phase modulation; graph theory; phase noise; Gaussian approximation; code word; factor graph; phase noise mitigation; phase-locking mechanism; serially concatenated continuous phase modulation; sum-product algorithm; Approximation algorithms; Availability; Concatenated codes; Continuous phase modulation; Gaussian approximation; Performance gain; Phase detection; Phase modulation; Phase noise; Sum product algorithm;
fLanguage :
English
Publisher :
ieee
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
Type :
conf
DOI :
10.1109/ISIT.2006.261662
Filename :
4036495
Link To Document :
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