Title
Cross-Validation Estimation for Frequency-Dependent I/Q Imbalance in MIMO-OFDM Receivers
Abstract
The effects of variation in RF, such as I/Q imbalance and filter mismatch, are extremely important for OFDM wireless accesses. This work presents a low-computational estimation of I/Q imbalances with filter mismatches to improve performance in MIMO-OFDM receivers. For N驴脳驴N MIMO-OFDM systems, the proposed cross-validation estimation is such that, only N驴+驴1 preambles are required to extract the mismatches of filters, gains and phases. With the estimated parameters, frequency-domain filters are exploited to correct frequency-dependent I/Q imbalances. Through performance evaluation of a 2驴脳驴2 MIMO-OFDM system, with ideal channel estimations this study incurs a SNR loss of 1---1.2 dB to maintain a 10% PER at 1-dB gain error, 10°-phase error and the worst 180°-filter mismatch. In addition, this algorithm is well-matched to IEEE 802.11n and new specifications discussed in IEEE 802.11 VHT study group.
Year
DOI
Venue
2010
10.1007/s11265-009-0403-y
Signal Processing Systems
Keywords
Field
DocType
Filter mismatch,I/Q imbalance,Cross validation,Frequency-Dependent Imbalance (FDI),MIMO-OFDM
MIMO-OFDM,Wireless,Computer science,Control theory,Communication channel,Real-time computing,Electronic engineering,Cross-validation,Orthogonal frequency-division multiplexing
Journal
Volume
Issue
ISSN
60
1
1939-8018
Citations 
PageRank 
References 
2
0.38
8
Authors
4
Name
Order
Citations
PageRank
Wei-Chi Lai1162.60
Ta-Yang Juan260.81
Terng-Yin Hsu34613.82
Sheng-lun Chiou430.87