An Introduction to the Kalman Filter
An Introduction to the Kalman Filter
Algorithms of Channel Estimation and Tracking in MB-OFDM UWB System
CSIE '09 Proceedings of the 2009 WRI World Congress on Computer Science and Information Engineering - Volume 01
Joint data QR-detection and Kalman estimation for OFDM time-varying Rayleigh channel complex gains
IEEE Transactions on Communications
CHANNEL ESTIMATION FOR WIRELESS OFDM SYSTEMS
IEEE Communications Surveys & Tutorials
Channel models for ultrawideband personal area networks
IEEE Wireless Communications
A Statistical Model for Indoor Multipath Propagation
IEEE Journal on Selected Areas in Communications
| Hi-index | 0.00 |
In this paper a modified version of Saleh-Valenzuela (S-V) channel model has been proposed for Ultra Wide Band (UWB) Orthogonal Frequency Division Multiplexing (OFDM) system and the performance has been estimated. In the proposed model, Poisson process has been modified for ray arrival rate and found that the proposed model is optimum for modeling ray arrival rate as compared to S-V model. Also Nakagami fading distribution has been considered in UWB channel model which suits for time varying multipath radio environment. The performance of the proposed channel model has been statistically analyzed over multiband OFDM by considering frequency domain channel estimation technique. The estimated coefficients have been tracked using Kalman filter technique and found that it gives more accurate prediction of channel coefficients as compared with Least Squares and Minimum Mean Square Estimation channel estimation techniques.