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An Adaptive Blind Channel Estimation of OFDM System by Worst Case H∞ Approach

초록

영어

The aim of this paper is to estimate the Channel characteristics of OFDM communication
system by using worst case H∞ approach and comparing the result with existing Kalman [6]
and H∞ channel estimators [8]. This estimation criterion is different from kalman filter. These
two algorithms fail because of more updation parameters like V, W and Q. In order to estimate
the signal without updating factors, we are proposing this worst case H-infinity approach in
which V and W are considered as worst case values (maximum). In this approach V and W are
updated only once for entire recursive estimation process. This method improves the
performance even for high data rate also.

목차

Abstract
 1. Introduction
 2. Overview of OFDM communication system
 3. Introduction to channel estimation procedures
  3.1 Briefing about kalman filtering
  3.2 Briefing about H-Infinity filtering process
  3.3 Equations related to the H-infinity and kalman filter
  3.4 Channel estimator (objective function of H-infinity approach)
  3.5 Worst case channel estimator (objective function of H-infinity approach)
 4. Design approach
 5. Conclusion
 References

저자정보

  • P.V. Naganjaneyulu Professor, Department of ECE, Guntur Engineering College, Guntur, A.P, India
  • Dr. K. Satya Prasad Professor of ECE & Director of Evaluation, JNTU, Kakinada, A.P, India

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