Linear Interpolation in Pilot Symbol Assisted Channel Estimation for OFDM

Author

Dong, Xiaodai ; Lu, Wu-Sheng ; Soong, Anthony C K

Author_Institution

Dept. of Electr. & Comput. Eng., Victoria Univ., BC

Volume

6

Issue

5

fYear

2007

fDate

5/1/2007 12:00:00 AM

Firstpage

1910

Lastpage

1920

Abstract

In this paper, we investigate several efficient interpolation techniques for pilot symbol assisted channel estimation in OFDM. The interpolation methods studied include two dimensional (2-D) separable lowpass sine interpolator with Kaiser window, 2-D separable Deslauriers-Dubuc (DD) interpolation and 2-D discrete Fourier transform (DFT) based lowpass interpolation. The performances of these interpolators are compared with those of the well known minimum mean-square error (MMSE) 2-D separable Wiener filter and the perfect channel state information. It is shown that the Kaiser window based interpolator and DD interpolation are simple, robust, and outperform the 2-D DFT based lowpass interpolation as well as several existing interpolation methods proposed in the literature. These two schemes are suitable candidates for use in 1-D and 2-D channel estimation

Keywords

OFDM modulation; channel estimation; discrete Fourier transforms; interpolation; 2D discrete Fourier transform; 2D separable Deslauriers-Dubuc interpolation; DFT; Kaiser window; OFDM; linear interpolation; pilot symbol assisted channel estimation; two dimensional separable lowpass sine interpolator; Channel estimation; Discrete Fourier transforms; Fast Fourier transforms; Finite impulse response filter; Interpolation; OFDM; Pattern analysis; Robustness; Two dimensional displays; Wiener filter;

fLanguage

English

Journal_Title

Wireless Communications, IEEE Transactions on

Publisher

ieee

ISSN

1536-1276

Type

jour

DOI

10.1109/TWC.2007.360392

Filename

4202196