DocumentCode :
2498400
Title :
Performance of Joint Phase and Data MLSE for TCM in Phase Noise Channels
Author :
Raphaeli, Dan ; Bialer, Oded
Author_Institution :
Tel-Aviv Univ., Tel-Aviv
fYear :
2007
fDate :
26-30 Nov. 2007
Firstpage :
1416
Lastpage :
1420
Abstract :
As communication extends to higher carrier frequencies, the phase noise problem becomes more severe and conventional phase tracking methods become inadequate. Jointly maximum likelihood sequence estimation (JMLSE) phase tracking and decoding is a practical tracking method achieving near optimal performance. There is a lack of an analytical tool for performance evaluation of coded JMLSE. In this paper we will present a novel approximated union bound on the performance of the JMLSE receiver for trellis coded MPSK and Wiener phase noise. Our analysis leads to an equivalent model of the JMLSE process which gives important insights. Since the union bound requires the summation of infinite number of error event, we introduce an efficient algorithm for selecting the error events with the significant contribution. The developed tool is usually tight and efficient, hence can be instrumental in finding codes which achieve low error rate on high phase noise channels.
Keywords :
decoding; error statistics; maximum likelihood sequence estimation; phase noise; telecommunication channels; trellis coded modulation; MLSE; MPSK; TCM; Wiener phase noise; decoding; error rate; jointly maximum likelihood sequence estimation; phase noise channels; phase tracking; phase tracking methods; trellis code; Data engineering; Error analysis; Frequency; Instruments; Maximum likelihood decoding; Maximum likelihood estimation; Performance analysis; Phase estimation; Phase noise; Upper bound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 2007. GLOBECOM '07. IEEE
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4244-1042-2
Electronic_ISBN :
978-1-4244-1043-9
Type :
conf
DOI :
10.1109/GLOCOM.2007.272
Filename :
4411182
Link To Document :
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