Journal of Communications and Networks

The Korean Institute of Commucations and Information Sciences (한국통신학회)
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Adaptive Complex Interpolator for Channel Estimation in Pilot-Aided OFDM System

  • Liu, Guanghui (School of Electronic Engineering, University of Electronic Science and Technology of China (UESTC)) ;
  • Zeng, Liaoyuan (School of Electronic Engineering, University of Electronic Science and Technology of China (UESTC)) ;
  • Li, Hongliang (School of Electronic Engineering, University of Electronic Science and Technology of China (UESTC)) ;
  • Xu, Linfeng (School of Electronic Engineering, University of Electronic Science and Technology of China (UESTC)) ;
  • Wang, Zhengning (School of Electronic Engineering, University of Electronic Science and Technology of China (UESTC))
  • Received : 2012.09.16
  • Accepted : 2013.03.24
  • Published : 2013.10.31
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Abstract

In an orthogonal frequency division multiplexing system, conventional interpolation techniques cannot correctly balance performance and overhead when estimating dynamic long-delay channels in single frequency networks (SFNs). In this study, classical filter analysis and design methods are employed to derive a complex interpolator for maximizing the resistible echo delay in a channel estimator on the basis of the correlation between frequency domain interpolating and time domain windowing. The coefficient computation of the complex interpolator requires a key parameter, i.e., channel length, which is obtained in the frequency domain with a tentative estimation scheme having low implementation complexity. The proposed complex adaptive interpolator is verified in a simulated digital video broadcasting for terrestrial/handheld receiver. The simulation results indicate that the designed channel estimator can not only handle SFN echoes with more than $200{\mu}s$ delay but also achieve a bit-error rate performance close to the optimum minimum mean square error method, which significantly outperforms conventional channel estimation methods, while preserving a low implementation cost in a short-delay channel.

Keywords

Acknowledgement

Supported by : China National Science Foundation

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