@inproceedings{51f52c4ab5064497a8ef6b144f9126bb,
title = "Improved channel estimation algorithm for OFDM system over slow fading Rayleigh channel",
abstract = "Orthogonal Frequency Division Multiplexing (OFDM) is being used by the modern communication systems due to the increase in demand for high throughput wireless communication systems. OFDM has highly efficient spectrum usage and robustness to multipath fading channel impairments. The focus of the paper is to improve Discrete Fourier Transform (DFT)-based channel estimator designed over a slow fading Rayleigh channel. In conventional DFT based channel estimator, the channel impulse response was calculated using Least Square (LS) estimator. In the proposed algorithm for the channel impulse response estimation, the MMSE estimator is employed instead of LS estimator. The comparison shows that the performance of the MMSE estimator is optimum than the LS estimator with the sense of MSE (mean square error). Therefore, it is preferred over LS estimator. The simulation results revealed better results for the proposed channel estimation scheme than the DFT-based estimator.",
keywords = "Block-type, Channel estimation, Equalization, ICI, MMSE estimator, OFDM",
author = "Nihar, {Shams Un} and Shah, {Syed Waqar} and Zeeshan Sabir and Zafar, {Mohammad Haseeb}",
year = "2016",
language = "English",
series = "Lecture Notes in Engineering and Computer Science",
publisher = "Newswood Limited",
pages = "587--591",
editor = "Len Gelman and Hukins, {David W.L.} and Ao, {S. I.} and Ao, {S. I.} and Len Gelman and Ao, {S. I.} and Korsunsky, {Alexander M.} and Andrew Hunter",
booktitle = "WCE 2016 - World Congress on Engineering 2016",
note = "World Congress on Engineering 2016, WCE 2016 ; Conference date: 29-06-2016 Through 01-07-2016",
}