Nonquiet primary user detection for OFDMA-based cognitive radio systems
IEEE Transactions on Wireless Communications
Analysis of interpolated channel estimation for mobile OFDM systems
IEEE Transactions on Communications
Wiener Filter Based Channel Estimation for High-Speed Communication Environments
Wireless Personal Communications: An International Journal
A complexity adaptive channel estimator for low power
DATE '12 Proceedings of the Conference on Design, Automation and Test in Europe
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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