Paper Info
Title
Fuzzy Adaptive Blind Equalizer Using Extended Kalman Filter Based Adaptation Algorithm For Powerline Channel
Abstract
Fuzzy adaptive equalizer (FAE) is a knowledge based equalizer operating on linguistic variables. The advantages of using fuzzy logic adaptation scheme with respect to more traditional adaptation schemes in powerline communication system are the simplicity of the approach and the use of knowledge (fuzzy IF-THEN rules and input output pairs information) about the communication medium. This paper presents a new adaptive blind equalization method based on fuzzy logic for powerline channel. We introduce a new type of fuzzy adaptive blind equalizer (FABE) using extended Kalman filter (EKF) based adaptation algorithm for powerline channel equalization. The proposed blind equalizer for powerline channel has the following merits: It is new and simple in design, and it does not requires training sequence. In a changeable distorted powerline channel, data transmission is continuous and do not stop for training the equalizer. The performance of EKF-based FABE is compared with two other types of FABEs based on the recursive least squares (RLS) and the least mean squares (LMS) adaptation algorithm. The simulation results show that EKF-based FABE has faster convergent and lower steady state probability of error compared to the other two FABEs. The bit error rate (BER) of the EKF-based FABE is close to that of the optimal equalizer.
Year
DOI
Venue
2006
10.1109/ICASSP.2006.1661002
2006 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-13
Keywords
Field
DocType
kalman filters,fuzzy logic,knowledge base,channel equalization,blind equalization,bit error rate,least mean square,adaptive equalizer,data transmission,input output,extended kalman filter,steady state,probability of error,communication system,ber,fuzzy systems,least squares approximation
Least mean squares filter,Extended Kalman filter,Computer science,Control theory,Fuzzy logic,Algorithm,Adaptive equalizer,Fuzzy control system,Blind equalization,Recursive least squares filter,Bit error rate
Conference
ISSN
Citations 
PageRank 
1520-6149
0
0.34
References 
Authors
6
2
Name
Order
Citations
PageRank
Wai Kit Wong139420.10
Heng-Siong Lim2459.65