DocumentCode
2293958
Title
Frequency Offset Estimation for OFDM Systems in the Presence of I/Q Mismatch
Author
Chen, Ying ; Jayalath, A.D.S. ; Zhang, Jian ; Pollock, Tony
Author_Institution
Australian Nat. Univ., Canberra
fYear
2007
fDate
3-7 Sept. 2007
Firstpage
1
Lastpage
5
Abstract
It is well known that Orthogonal Frequency Division Multiplexing (OFDM) systems are sensitive to carrier frequency offset (CFO), hence frequency offset estimation and compensation is critical in OFDM systems. The performance of general CFO estimation methods will degrade in the presence of hardware distortions, for example, I/Q mismatch. With higher carrier frequencies, both CFO and I/Q mismatch will increase and the performance of CFO estimation will degrade significantly. CFO estimation robust to I/Q mismatch becomes particularly important today because of the demand of broadband wireless communication at higher carrier frequencies. In this paper, we propose a low complexity CFO estimation algorithm which is robust to a large range of I/Q mismatch. The proposed estimator can achieve similar performance with the general CFO estimation method when smaller I/Q mismatch is present while improve the system performance significantly when a larger mismatch is present.
Keywords
OFDM modulation; broadband networks; computational complexity; frequency estimation; radio networks; I/Q mismatch; OFDM systems; broadband wireless communication; carrier frequency offset; frequency offset estimation; low complexity CFO estimation algorithm; orthogonal frequency division multiplexing; Australia; Broadband communication; Degradation; Frequency estimation; Hardware; Interference; OFDM; Robustness; System performance; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Personal, Indoor and Mobile Radio Communications, 2007. PIMRC 2007. IEEE 18th International Symposium on
Conference_Location
Athens
Print_ISBN
978-1-4244-1144-3
Electronic_ISBN
978-1-4244-1144-3
Type
conf
DOI
10.1109/PIMRC.2007.4394289
Filename
4394289
Link To Document