DocumentCode :
2242133
Title :
CRLB and ML algorithm for joint recovery of carrier phase and IQ imbalance
Author :
Gappmair, Wilfried ; Koudelka, Otto
Author_Institution :
Inst. of Commun. Networks & Satellite Commun., Graz Univ. of Technol., Graz, Austria
fYear :
2010
fDate :
21-23 July 2010
Firstpage :
96
Lastpage :
100
Abstract :
Due to the challenging design goals for present and future communication systems, e.g., low cost and small power dissipation, direct-conversion or low-IF transceivers are a most attractive option, preferably realized on a single-chip architecture. The inherent drawbacks, like IQ gain and phase imbalance, can be compensated by appropriately developed DSP solutions. In this respect, Cramer-Rao lower bound (CRLB) and maximum-likelihood (ML) algorithm for joint recovery of carrier and IQ phase offset are very interesting for comparison reasons. Interestingly, recent contributions on this subject do not address this issue, whereas it has been discussed in a less recent paper. The current investigation extends the latter in two aspects: (i) it includes IQ gain imbalance as well; (ii) the correlation of noise components in the baseband, regarded as independent in the reference paper and thus causing some shortcomings, is taken into account.
Keywords :
maximum likelihood estimation; signal processing; CRLB algorithm; Cramer-Rao lower bound algorithm; DSP solution; IQ imbalance recovery; ML algorithm; carrier phase recovery; communication system; maximum-likelihood algorithm; phase imbalance; single-chip architecture; Gain; Jitter; Joints; Maximum likelihood estimation; Noise; Receivers; Cramer-Rao lower bound; IQ imbalance; carrier phase; maximum-likelihood solution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Systems Networks and Digital Signal Processing (CSNDSP), 2010 7th International Symposium on
Conference_Location :
Newcastle upon Tyne
Print_ISBN :
978-1-4244-8858-2
Electronic_ISBN :
978-1-86135-369-6
Type :
conf
Filename :
5580452
Link To Document :
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