Title
The Separation System of the Speech Signals Using Kalman Filter with Fuzzy Algorithm
Abstract
The frequency reuse technology is used to supply a high system capacity in mobile communication system. However, the situation of the frequency reuse leads to co-channel interference. In this paper, the presented algorithm based on Kalman Filter with Fuzzy theory which separated the speech signals under Additive White Gaussian noise channel. It is shown how to search the optimal weight coefficients value for minimizing Mean Square Error (MSE) and high convergence time in the discrete state-space procedure. Then, comparing the traditional Kalman Filter algorithm, we observe some disadvantage such as low convergence time and large Mean Square Error. We adopt Kalman algorithm combined with Fuzzy theory for improving the convergence speed and MSE of conventional Kalman Filter. In numerical analysis, we discuss the convergence rate for carrier signal-to-noise ratio (SNR) _c and compare the MSE Furthermore, in this paper the Kalman algorithm with Fuzzy logic is better than Kalman Filter performance for separating speech signal under Additive White Gaussian Noise (AWGN) channel.
Year
DOI
Venue
2006
10.1109/ICICIC.2006.172
ICICIC (1)
Keywords
Field
DocType
convergence speed,conventional kalman filter,fuzzy algorithm,fuzzy theory,kalman algorithm,kalman filter performance,additive white gaussian noise,speech signal,separation system,convergence rate,traditional kalman filter algorithm,kalman filter,minimisation,signal to noise ratio,mobile communication,state space,fuzzy set theory,search problem,speech processing,kalman filters,fuzzy logic,minimization,mean square error,co channel interference,numerical analysis
Extended Kalman filter,Alpha beta filter,Fast Kalman filter,Control theory,Computer science,Algorithm,Kalman filter,Invariant extended Kalman filter,Ensemble Kalman filter,Additive white Gaussian noise,Recursive least squares filter
Conference
ISBN
Citations 
PageRank 
0-7695-2616-0
1
0.39
References 
Authors
1
4
Name
Order
Citations
PageRank
Yu-Jen Chen115623.38
Chin- Chang Wang210.39
Gwo-Jia Jong35918.97
Boi-Wei Wang4112.61