Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Fast Algorithms for Digital Signal Processing
Fast Algorithms for Digital 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
Reduced complexity equalizers for zero-padded OFDM transmissions
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 05
IEEE Journal on Selected Areas in Communications
Hi-index | 0.00 |
It is well-known that in order to enhance system performance, channel estimation in coherent OFDM systems is necessary and crucial. In practice, lots of coherent OFDM systems transmit pilot symbols over some of the subcarriers for the purpose of estimating channel attenuation, and also insert cyclic prefixto avoid inter-carrier and inter-symbol interference. In this paper, a pseudo noise (PN) sequence combined with zero padding is inserted in the postfix of each OFDM symbol to estimate the channel impulse response. The major advantage of the proposed channel estimation techniques is the ability of estimating and, then, tracking the channel variations. These proposed channel estimation algorithms include least-square technique with decision-directed data-assistance (DDLS), least-square (LS) estimation and maximum-likelihood (ML) scheme with different observation windows. The proposed techniques are thus very appropriately used in presence of high mobility with large Doppler spreads. Some comparative simulations are given to illustrate the superior performance of the proposed channel estimation techniques.