Kalman Filtering based Adaptive Frequency Domain Channel Estimation with Low Pilot Overhead for OFDM Systems

Jangwoo Park, Youngsun Ha, Wonzoo Chung

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

In this paper, we propose an adaptive frequency domain channel estimation method based on a modified Kalman filtering, which requires low pilot overhead, for estimating and tracking time-varying channel in orthogonal frequency division multiplexing (OFDM) systems. The proposed frequency domain Kalman filtering channel estimation achieves the minimum pilot overhead by exploiting periodically inserted pilot symbols and decision directed symbols between them. The pilot overhead efficiency and tracking performance of the proposed method is studied through simulation. Simulation results show that the proposed method has adequate tracking performance with a pilot overhead of below 5%.

Original languageEnglish
Pages (from-to)107-114
Number of pages8
JournalInternational Journal of Control and Automation
Volume5
Issue number2
Publication statusPublished - 2012 Jun 1

Fingerprint

Channel estimation
Orthogonal frequency division multiplexing

Keywords

  • Adaptive channel estimation
  • Kalman filter
  • Orthogonal frequency division multiplexing (OFDM)
  • Time-varying channel

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Kalman Filtering based Adaptive Frequency Domain Channel Estimation with Low Pilot Overhead for OFDM Systems. / Park, Jangwoo; Ha, Youngsun; Chung, Wonzoo.

In: International Journal of Control and Automation, Vol. 5, No. 2, 01.06.2012, p. 107-114.

Research output: Contribution to journalArticle

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