Timing error noise reduction in distributed wireless network using Kalman filter
The distributed network has been considered the future's wireless networking. A key challenge to implementing a distributed network is time synchronization of nodes in a network in a noisy environment. A few parallel synchronization schemes have been proposed. But when the data rate is high, the performances of these algorithms are degraded because of timing error noise. Thus thesis deals with the problem of timing error noise using the Kalman filter, which is highly effective for additive white Gaussian noise (AWGN) but also restrains other kinds of noise, although not as effectively as for AWGN. By means of the Kalman filter, the effect of timing error noise can be reduced. Simulation results provide the effectiveness of the algorithm used.
Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and Computer Science.