DocumentCode
2518902
Title
IQ Offset and Imbalance Estimation for LTE Basestation Receivers and Measurement Devices
Author
Kuhn, Christian
Author_Institution
Test & Meas. Div, Rohde & Schwarz GmbH & Co. KG, Munich, Germany
fYear
2011
fDate
5-8 Sept. 2011
Firstpage
1
Lastpage
5
Abstract
Low-cost mobiles for the LTE communication system usually generate transmit signals which are strongly influenced by effects of the IQ offset. The specified limits concerning the maximum value for this distortion that has to be accepted requires its compensation at basestation receivers for a reliable data detection. Another need exists in the field of communication testers for mobile devices. To assess the quality of a transmit signal, an IQ offset compensation is mandatory. Moreover, it is required for a reliable computation of the corresponding quality measure especially for highly corrupted output signals of mobile devices. Due to deviations of the LTE transmission scheme from classical OFDM, the IQ offset has to be estimated jointly with the IQ imbalance and the channel. For the general case, a pilot-aided approach leads to an underdetermined estimation problem. In this context, a solution is presented which approximately solves the problem according to the Maximum-Likelihood criterion. Simulation results show that the introduced approximation is valid and significantly improves the receiver performance.
Keywords
Long Term Evolution; maximum likelihood estimation; radio receivers; telecommunication network reliability; IQ imbalance estimation; IQ offset compensation; LTE basestation receivers; LTE communication system; low-cost mobiles; maximum-likelihood criterion; mobile devices; reliable data detection; Channel models; Cost function; Maximum likelihood estimation; Mobile communication; OFDM; Receivers;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference (VTC Fall), 2011 IEEE
Conference_Location
San Francisco, CA
ISSN
1090-3038
Print_ISBN
978-1-4244-8328-0
Type
conf
DOI
10.1109/VETECF.2011.6092857
Filename
6092857
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