Cross-validation estimation for frequency-dependent I/Q imbalance in MIMO-OFDM receivers

Wei Chi Lai*, Ta Yang Juan, Terng-Yin Hsu, Sheng Lun Chiou

*Corresponding author for this work

Research output: Contribution to journalArticle

4 Scopus citations

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×N MIMO-OFDM systems, the proposed cross-validation estimation is such that, only N+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 2×2 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.

Original languageEnglish
Pages (from-to)59-70
Number of pages12
JournalJournal of Signal Processing Systems
Volume60
Issue number1
DOIs
StatePublished - 1 Jul 2010

Keywords

  • Cross validation
  • Filter mismatch
  • Frequency-Dependent Imbalance (FDI)
  • I/Q imbalance
  • MIMO-OFDM

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