Blind Fuzzy Adaptation Step Control for a Concurrent Neural Network Equalizer
Joint Authors
Mayer, Kayol S.
Oliveira, Matheus S. De
Müller, Candice
Castro, Fernando C. C. De
Castro, Maria C. F. De
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-01-10
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
Mobile communications, not infrequently, are disrupted by multipath propagation in the wireless channel.
In this context, this paper proposes a new blind concurrent equalization approach that combines a Phase Transmittance Radial Basis Function Neural Network (PTRBFNN) and the classic Constant Modulus Algorithm (CMA) in a concurrent architecture, with a Fuzzy Controller (FC) responsible for adapting the PTRBFNN and CMA step sizes.
Differently from the Neural Network (NN) based equalizers present in literature, the proposed Fuzzy Controller Concurrent Neural Network Equalizer (FC-CNNE) is a completely self-taught concurrent architecture that does not need any training.
The Fuzzy Controller inputs are based on the estimated mean squared error of the equalization process and on its variation in time.
The proposed solution has been evaluated over standard multipath VHF/UHF channels defined by the International Telecommunication Union.
Results show that the FC-CNNE is able to achieve lower residual steady-state MSE value and/or faster convergence rate and consequently lower Bit Error Rate (BER) when compared to Constant Modulus Algorithm-Phase Transmittance Radial Basis Function Neural Network (CMA-PTRBFNN) equalizer.
American Psychological Association (APA)
Mayer, Kayol S.& Oliveira, Matheus S. De& Müller, Candice& Castro, Fernando C. C. De& Castro, Maria C. F. De. 2019. Blind Fuzzy Adaptation Step Control for a Concurrent Neural Network Equalizer. Wireless Communications and Mobile Computing،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1212310
Modern Language Association (MLA)
Mayer, Kayol S.…[et al.]. Blind Fuzzy Adaptation Step Control for a Concurrent Neural Network Equalizer. Wireless Communications and Mobile Computing No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1212310
American Medical Association (AMA)
Mayer, Kayol S.& Oliveira, Matheus S. De& Müller, Candice& Castro, Fernando C. C. De& Castro, Maria C. F. De. Blind Fuzzy Adaptation Step Control for a Concurrent Neural Network Equalizer. Wireless Communications and Mobile Computing. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1212310
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1212310