7th International Conference on Cognitive Radio Oriented Wireless Networks

Research Article

Iterative Receiver Signal Processing for Joint Mitigation of Transmitter and Receiver Phase Noise in OFDM-Based Cognitive Radio Link

Download109 downloads
  • @INPROCEEDINGS{10.4108/icst.crowncom.2012.249438,
        author={Ville Syrj\aa{}l\aa{} and Mikko Valkama},
        title={Iterative Receiver Signal Processing for Joint Mitigation of Transmitter and Receiver Phase Noise in OFDM-Based Cognitive Radio Link},
        proceedings={7th International Conference on Cognitive Radio Oriented Wireless Networks},
        publisher={IEEE},
        proceedings_a={CROWNCOM},
        year={2012},
        month={7},
        keywords={cognitive radio ofdm phase noise mitigation digital signal processing dirty-rf},
        doi={10.4108/icst.crowncom.2012.249438}
    }
    
  • Ville Syrjälä
    Mikko Valkama
    Year: 2012
    Iterative Receiver Signal Processing for Joint Mitigation of Transmitter and Receiver Phase Noise in OFDM-Based Cognitive Radio Link
    CROWNCOM
    IEEE
    DOI: 10.4108/icst.crowncom.2012.249438
Ville Syrjälä1,*, Mikko Valkama1
  • 1: Tampere University of Technology
*Contact email: ville.syrjala@tut.fi

Abstract

In opportunistic spectrum access and cognitive radio, the device is assumed to be operating over a very wide range of radio frequencies (RF). This implies that severe implementation imperfections can take place in the RF modules of the devices. One such imperfection is oscillator phase noise. In this article, we study the impact and DSP-based mitigation of oscillator phase noise in OFDM-based cognitive radio link. The paper proposes an iterative receiver-side DSP algorithm for joint transmitter and receiver phase noise mitigation. In the algorithm, the received signal is first detected, and the detection results combined with channel state estimate are used to form an estimate of the time-varying phase noise process. This phase noise estimate is then used to suppress the phase noise effects from the original received signal. Simulation results show that the proposed algorithm gives significant performance improvement over the existing phase noise mitigation algorithms.