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Blind Estimation Algorithm Over Fast-Fading Multipath OFDM Channels

  • Jing Liu
  • Kun Han
  • Wenhua Wu
  • Shu Wang
  • Xiao Yu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11336)

Abstract

The Maximum likelihood (ML) estimation algorithm of timing deviation and carrier frequency offset in orthogonal frequency division multiplexing (OFDM) system is studied, and the ML algorithm is extended to the fast fading multipath wireless channel environment using the multi-symbol Joint estimation technique. This method is based on the autocorrelation of cyclic prefixes (CP) in OFDM blocks without training data, the spectral efficiency and throughput of the system are improved. Meanwhile, in the case of the extremum of signal-to-noise ratio, two algorithms are deduced, which are suboptimal but less computational complexity and more adaptable to channel. Simulation results indicate that this scheme can effectively improve the estimation performance of symbol timing deviation and carrier frequency offset in fast fading multipath channel.

Keywords

OFDM ML estimation Synchronization Multipath fading 

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.School of Information and CommunicationNational University of Defense TechnologyXianChina
  2. 2.Institute of Systems Engineering, Academy of Military SciencesBeijingChina
  3. 3.School of Computer Science and TechnologyShandong University of TechnologyShandong ZiboChina

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