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Joint frequency offset, time offset, and channel estimation for OFDM/OQAM systems.

Ali Baghaki1, Benoit Champagne1

  • 1Department of Electrical and Computer Engineering, McGill University, 3480 University Street, Montreal, H3A 0E9 Canada.

EURASIP Journal on Advances in Signal Processing
|January 31, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces an improved joint estimation method for carrier frequency offset, sampling time offset, and channel impulse response in Offset Quadrature Amplitude Modulation-Orthogonal Frequency Division Multiplexing (OFDM/OQAM) systems, enhancing wireless network performance.

Keywords:
Carrier frequency offsetChannel impulse responseCramer-Rao boundFilter bank multicarrierJoint estimationOFDM/OQAMSampling time offset

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Area of Science:

  • Electrical Engineering
  • Signal Processing
  • Wireless Communications

Background:

  • Orthogonal Frequency Division Multiplexing (OFDM) is a key technology in wireless networks.
  • Offset Quadrature Amplitude Modulation-OFDM (OFDM/OQAM) is a promising alternative to OFDM.
  • Accurate parameter estimation is crucial for OFDM/OQAM practical application.

Purpose of the Study:

  • To propose an improved joint estimation method for carrier frequency offset, sampling time offset, and channel impulse response in OFDM/OQAM systems.
  • To develop a pilot-based Maximum Likelihood (ML) estimator for these parameters.
  • To establish a performance benchmark using the Cramer-Rao bound.

Main Methods:

  • A novel pilot-based Maximum Likelihood (ML) estimation technique is proposed.
  • The ML estimator formulation splits received pilot symbols into contributions from surrounding symbols and noise.
  • The Cramer-Rao bound is derived for performance evaluation.

Main Results:

  • The proposed joint ML estimator demonstrates superior performance compared to a previous highly cited method.
  • The new estimation method achieves results close to the theoretical Cramer-Rao bound.
  • The method effectively estimates carrier frequency offset, sampling time offset, and channel impulse response.

Conclusions:

  • The proposed joint estimation method significantly improves the accuracy of parameter estimation in OFDM/OQAM systems.
  • This advancement facilitates the practical deployment of OFDM/OQAM in future wireless networks.
  • The method offers a robust and near-optimal solution for essential parameter estimation challenges.