Corpus ID: 16917636

Joint Phase Noise Estimation and Data Detection in Coded MIMO Systems

  title={Joint Phase Noise Estimation and Data Detection in Coded MIMO Systems},
  author={Arif {\"O}nder Isikman and H. Mehrpouyan and A. Nasir and A. G. I. Amat and R. Kennedy},
  • Arif Önder Isikman, H. Mehrpouyan, +2 authors R. Kennedy
  • Published 2013
  • Computer Science, Mathematics
  • ArXiv
  • In this paper, the problem of joint oscillator phase noise (PHN) estimation and data detection for multi-input multi-output (MIMO) systems using bit-interleaved coded modulation (BICM) is analyzed. A new MIMO receiver that iterates between the estimator and the detector, based on the expectation-maximization (EM) framework, is proposed. It is shown that at high signal-to-noise ratios, a maximum a posteriori estimator (MAP) can be used to carry out the maximization step of the EM algorithm… CONTINUE READING


    Phase Noise Estimation for Uncoded/Coded SISO and MIMO Systems
    • 3
    • PDF
    Joint Estimation of Channel and Oscillator Phase Noise in MIMO Systems
    • 119
    • PDF
    Phase Noise in MIMO Systems: Bayesian Cramér–Rao Bounds and Soft-Input Estimation
    • 25
    • PDF
    A Theoretical Framework for Soft-Information-Based Synchronization in Iterative (Turbo) Receivers
    • 134
    • PDF
    Joint iterative detection and phase noise estimation algorithms using Kalman filtering
    • 13
    • Highly Influential
    Embedding carrier phase recovery into iterative decoding of turbo-coded linear modulations
    • 144
    Improving MIMO phase noise estimation by exploiting spatial correlations
    • N. Hadaschik, M. Dörpinghaus, +4 authors H. Meyr
    • Computer Science
    • Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.
    • 2005
    • 27
    • Highly Influential
    • PDF
    Code-Aided Turbo Synchronization
    • 110
    • PDF
    Design of Optimal High-Rank Line-of-Sight MIMO Channels
    • 203