Advances in Computer Science and Information Technology. Networks and Communications. Second International Conference, CCSIT 2012, Bangalore, India, January 2-4, 2012. Proceedings, Part I

Research Article

A Novel Approach for MIMO OFDM Systems to Estimate I/Q Imbalance, CFO, Channel Response Using Training Sequences

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  • @INPROCEEDINGS{10.1007/978-3-642-27299-8_17,
        author={J. Tarun Kumar and K. Anitha Sheela},
        title={A Novel Approach for MIMO OFDM Systems to Estimate I/Q Imbalance, CFO, Channel Response Using Training Sequences},
        proceedings={Advances in Computer Science and Information Technology. Networks and Communications. Second International Conference, CCSIT 2012, Bangalore, India, January 2-4, 2012. Proceedings, Part I},
        proceedings_a={CCSIT PART I},
        year={2012},
        month={11},
        keywords={CFO Channel response I/Q imbalance MIMO OFDM},
        doi={10.1007/978-3-642-27299-8_17}
    }
    
  • J. Tarun Kumar
    K. Anitha Sheela
    Year: 2012
    A Novel Approach for MIMO OFDM Systems to Estimate I/Q Imbalance, CFO, Channel Response Using Training Sequences
    CCSIT PART I
    Springer
    DOI: 10.1007/978-3-642-27299-8_17
J. Tarun Kumar1, K. Anitha Sheela2
  • 1: Ramappa Engineering College, JNT University
  • 2: JNT University

Abstract

Systems using Orthogonal Frequency Division Multiplexing (OFDM) suffer with carrier frequency offset (CFO), in phase and quadrature phase imbalance (I/Q) due to which there will be large performance degradation. The CFO, I/Q imbalance are caused due to mismatch of carrier frequency at the transmitter and local oscillator frequency at the receiver. This paper presents a novel approach for joint estimation of I/Q imbalance, CFO and Channel Estimation for Multiple-Input Multiple-Output (MIMO) OFDM systems. A new energy parameter called is introduced, and from this parameter we can jointly estimate CFO, I/Q imbalance irrespective of channel estimation. The proposed method uses an optimal training block with one or two training sequences. For estimation of two repeated sequences, a two-step approach is proposed. From the simulation results we show that the Mean-Square Error (MSE) of this method is close to Cramer-Rao Bound (CRB).