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ABSTRACT
The aim of this work is to analyze and develop original methods and model to overcame technical limitations and constraints of indoor power line communications channels when they are used for broadband transmission. For this purpose, the channel characteristics are described and a detailed analysis of noise terms with a clear distinction between their constituent terms is presented.
Channel models, designed to capture these characteristics in real power networks, are presented. Soft Computing Techniques based models has been proposed and used to identification of different noise sources. The presented Soft Computing Techniques have been developed within the area of digital communication, nevertheless they posses general applicability.
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LIST OF PUBBLICATION
[1] S. Barmada, L. Bellanti ,“Analysis of Power-Line Communication Channels in Ships.”, IEEE Transactions on Vehicular Technology, Vol. 59, Issue 7, 2010.
[2] L. Bellanti , M. Raugi, M. Tucci, ‘’Estimate of cyclostationary PLC channels by a modified Self-Organizing Map’’, ISPLC 2009, Dresden, Germany.
[3] L. Bellanti, A. Ripoli, D. Della Latta, S.Berti, “ Intelligenza Artificiale in cardiologia” Giornale Italiano di Cardiologia. 2006, Genova.
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CONTENTS
Abstract………I
List of publications………...III
Contents………IV
1.Introduction………1
1.1 Historical Overview and Motivation………..1
1.2 Technical Challenges……… .2
1.3 Thesis layout... 3
2. Powerline Network Characteristic……….6
2.1 PLC Transmission Channel………. 7
2.2 Network Topology……….. 10
2.3 Disturbance Characterization………. 12
3. Modulation Techniques for PLC Channels………15
3.1 OFDM signals in nonlinear channel………17
4. SOM- based models for estimation of cyclostationary PLC channels………18
4.1 Ciclostationary loads………..19
4.1.2 Impulsive noise……….21
4.2 In-home PLC Networks……….22
VI
4.2.1 Topology of In-home PLC Networks………22
4.2.2 The frequency response……….23
4.3 OFDM multicarrier modulation……….25
4.4 SOM………...26
4.4.1 SOM Alghoritm………...27
4.5 Proposed estimation method………29
4.6 Transmission simulations……….32
4.7 Consideration………36
5. LS-SVM based models for estimation of impulsive noise in PLC- SYSTEMS………..38
5.1 Impulsive Noise………39
5.2 PLC- Networks………..40
5.2.1 Topology of PLC Networks………42
5.2.2 Frequency response………43
5.2.3 The time variation……….45
5.3 SVM………..48
5.3.1 LS-SVM Alghorithm………..50
5.4 Measuring System………...52
5.5 Clustering and classification of time series data………56
5.6 Consideration………60
6.POWER LINE IN SHIPS: MODELLING AND EXPERIMENTS………..63
6.1 Marine Electrical Power Distribution………..64
6.2 On Board Measurement……….66
6.3 Prototyping platform……… 67
6.3.1 Set-up Description………67
6.3.2 Hardware Description………..69
6.3.3 Software Description……… 71
VII
6.4 Test performed………72
6.4.1 Frequency Response of the Different Channel Configuration Measurements………72
6.4.2 Transmission of OFDM frames……….76
6.5 Consideration………77
Conclusion………78
References………79
