Channel Estimation and Data Detection in the Presence of Phase Noise in MIMO-OFDM Systems with Independent Oscillators

Tae Jun Lee, Young Chai Ko

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)


In this paper, we propose the mitigating scheme to reduce the effects of phase noise in multi-input multi-output-orthogonal frequency division multiplexing system with independent oscillator in each RF chain. Our proposed schemes consist of two stages; channel estimation stage and data decoding stage. In the first stage, we propose the channel estimation algorithm based on maximum a posteriori (MAP) estimator and a method of selecting the training sequence for channel estimation and we provide the mathematical analysis of our proposed scheme. In the second stage, MAP estimators are used to jointly estimate phase noise at TX and RX and detect data symbols. For analysis of mean square error (MSE) performances, we derive Bayesian Cramėr-Rao bound for multi-parameter estimation problem in each stage. At the end of this paper, we demonstrate from our simulation results that our mathematical analysis is accurate and the proposed algorithm improves the bit-error-rate performance and MSE performance compared with existing schemes.

Original languageEnglish
Article number7937774
Pages (from-to)9647-9662
Number of pages16
JournalIEEE Access
Publication statusPublished - 2017

Bibliographical note

Funding Information:
This work was supported by ICT R&D Program of MSIP/IITP, Next Generation WLAN System with High Efficient Performance, under Grant 2014-044-006-004.

Publisher Copyright:
© 2013 IEEE.


  • MIMO
  • OFDM
  • RF impairment
  • channel estimation
  • common phase error (CPE)
  • inter-carrier interference (ICI)
  • mmWave
  • oscillators
  • phase noise

ASJC Scopus subject areas

  • General Computer Science
  • General Materials Science
  • General Engineering


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