Pilot-aided adaptive prediction channel estimation in a frequency-nonselective fading channel

Shinsuke Takaoka, Fumiyuki Adachi

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

Pilot-aided adaptive prediction channel estimation is proposed for coherent detection in a frequency-nonselective fading channel. It is an extension of the conventional weighted multi-slot averaging (WMSA) channel estimation and consists of 3 steps. A block of Np pilot symbols is periodically transmitted, each pilot block being followed by Nd data symbols to form a data slot. In the first step, the instantaneous channel gain is estimated by coherent addition of Np pilot symbols. Using the K past and K future estimated instantaneous channel gains, the second step predicts the instantaneous channel gains at the end and beginning of data slot of interest by a forward predictor and a backward predictor, respectively. The tap-weights of forward prediction and backward prediction are adaptively updated using the normalized least mean square (NLMS) algorithm. Finally, in the third step, the instantaneous channel gain at each data symbol position within the data slot of interest is estimated by simple averaging or linear interpolation using the two adaptively predicted instantaneous channel gains. The computer simulation confirms that the proposed adaptive prediction channel estimation achieves better bit error rate (BER) performance than the conventional WMSA channel estimation in a fast fading channel and/or in the presence of frequency offset between a transmitter and a receiver.

Original languageEnglish
Pages (from-to)1552-1560
Number of pages9
JournalIEICE Transactions on Communications
VolumeE85-B
Issue number8
Publication statusPublished - 2002 Aug

Keywords

  • Adaptive prediction
  • Channel estimation
  • Fading channel
  • Normalized LMS
  • Pilot symbol

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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