Multiple Invariance MUSIC-Based Blind Carrier Frequency Offset Estimation for OFDM System with Multi-Antenna Receiver

  • Authors:
  • Xiaofei Zhang;Lingyun Xu;Fei Wang;Dazhuan Xu

  • Affiliations:
  • Department of Electronic Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing, China 210016;Department of Electronic Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing, China 210016;Department of Electronic Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing, China 210016;Department of Electronic Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing, China 210016

  • Venue:
  • Wireless Personal Communications: An International Journal
  • Year:
  • 2012

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Abstract

In this paper, we address the problem of carrier frequency offset (CFO) estimation for orthogonal frequency division multiplexing (OFDM) systems with multi-antenna receiver. The received signal can be reconstructed to form data model with multi-invariance property, and then a multi-invariance MUSIC algorithm for CFO estimation is proposed. This algorithm has better performance of CFO estimation than ESPRIT method, multi-invariance ESPRIT method and trilinear decomposition algorithm, and also qualifies the estimation for both integer CFO and fractional CFO. Simulation results illustrate validity of this algorithm.