Cross-Validation Estimation for Frequency-Dependent I/Q Imbalance in MIMO-OFDM Receivers

Authors:
Wei-Chi Lai;Ta-Yang Juan;Terng-Yin Hsu;Sheng-Lun Chiou
Affiliations:
Department of Computer Science, National Chiao Tung University, Hsinchu, Republic of China 300;Department of Computer Science, National Chiao Tung University, Hsinchu, Republic of China 300;Department of Computer Science, National Chiao Tung University, Hsinchu, Republic of China 300;Institute for Information Industry, Taipei, Republic of China
Venue:
Journal of Signal Processing Systems
Year:
2010

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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.