Adaptive prediction iterative channel estimation for OFDM signal reception in a frequency selective fading channel

Shinsuke Takaoka, Fumiyuki Adachi

Research output: Contribution to journalConference articlepeer-review

7 Citations (Scopus)

Abstract

In this paper, pilot-assisted adaptive prediction iterative channel estimation is proposed for the antenna diversity reception of orthogonal frequency division multiplexing (OFDM) signals. Adaptive prediction filtering is incorporated into iterative channel estimation process with decision feedback and reverse modulation. The filter tap weights are adaptively updated according to changes in the multipath propagation environment. For the adaptation of tap weights, the normalized least mean square (NLMS) algorithm is applied that uses the noisy instantaneous channel gains obtained by reverse modulation and from pilot symbols as the reference signal. The average bit error rate (BER) performance in a frequency selective fading channel is evaluated by computer simulation for the frequency and time multiplexed pilot cases. It is confirmed that adaptive prediction iterative channel estimation provides better BER performance than using fixed-tap filter.

Original languageEnglish
Pages (from-to)1576-1580
Number of pages5
JournalIEEE Vehicular Technology Conference
Volume57
Issue number3
Publication statusPublished - 2003 Jan 1
Externally publishedYes
Event57th IEEE Semiannual Vehicular Technology Conference (VTC2003) - Jeju, Korea, Republic of
Duration: 2003 Apr 222003 Apr 25

ASJC Scopus subject areas

  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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