Channel estimation by modulated Lagrange interpolation

Authors:
Zheng Cheng;Jon W. Mark
Affiliations:
Department of Electrical and Computer Engineering, University of Waterloo, Canada;Department of Electrical and Computer Engineering, University of Waterloo, Canada
Venue:
Signal Processing
Year:
2010

Citing 7
Cited 0

Approximation of a variable-length delay line by using tapped delay line processing

Signal Processing
Two-Dimensional Pilot-Symbol-Aided Channel Estimation by Wiener Filtering

ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 3 - Volume 3
Theoretical bounds on the estimation and prediction of multipath time-varying channels

ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 05
Channel-aware priority transmission scheme using joint channel estimation and data loading for OFDM systems

IEEE Transactions on Signal Processing - Part II
A new time delay estimator based on ETDE

IEEE Transactions on Signal Processing
Channel estimation for OFDM systems based on comb-type pilot arrangement in frequency selective fading channels

IEEE Transactions on Consumer Electronics
Robust LS channel estimation with phase rotation for single frequency network in OFDM

IEEE Transactions on Consumer Electronics

Quantified Score

Hi-index	0.08

Visualization

Abstract

In coherent orthogonal frequency division multiplexing (OFDM) communication systems, pilot-symbol-assisted parameter estimation is used for estimating and tracking the channel fluctuation for accurate demodulation of data at the receiver. In this paper, modulated Lagrange interpolation is introduced for OFDM pilot-symbol-assisted channel estimation and system performance is studied by simulation for a multipath fading channel to demonstrate its simplicity and accuracy compared to linear, polynomial interpolation OFDM channel estimation. The simulation results show that modulated Lagrange interpolation can provide more accurate channel estimation than the linear or Lagrange interpolation method.