Dynamic hardware based narrowband and wideband channel emulator for modem testing in low-voltage indoor power-line communication scenarios
Date of Publication
2017
Document Type
Dissertation
Degree Name
Doctor of Philosophy in Electronics and Communications Engineering
Subject Categories
Engineering
College
Gokongwei College of Engineering
Department/Unit
Electronics and Communications Engineering
Thesis Adviser
Lawrence Y. Materum
Defense Panel Chair
Gerino P. Mappatao
Defense Panel Member
Aaron Don M. Africa
Felicito S. Caluyo
Celso B. Co
Jennifer C. Dela Cruz, .
Abstract/Summary
In this dissertation, a power line communications channel (PLC) emulator that has a random selectivity feature to mimic real-world PLC scenario applied to an indoor network has been designed, developed, tested, and evaluated. The emulator has been implemented in FPGA-based hardware. State-of-the-art PLC channel emulators do not have a random selectivity feature when generating the channels and most of them emulated either the channels only, or the noise only. In this dissertation, the emulator emulates various PLC channels and noise. The performance of the emulator has been compared with the random channel variates generated by PLC channel models. A limiting factor is the number of bits allocated for the fraction part of the fixed-point equivalent of the transfer function.
The results further show that frequency domain operation had effectively speed up the emulation process, and in terms of speed via the number operations per seconds, the developed FPGA emulator is 200% much faster than the simulator.
Abstract Format
html
Language
English
Format
Electronic
Accession Number
CDTG007135
Shelf Location
Archives, The Learning Commons, 12F Henry Sy Sr. Hall
Physical Description
1 computer disc; 4 3/4 in.
Keywords
Communication in engineering; Electronics; Power electronics
Recommended Citation
Dulay, A. E. (2017). Dynamic hardware based narrowband and wideband channel emulator for modem testing in low-voltage indoor power-line communication scenarios. Retrieved from https://animorepository.dlsu.edu.ph/etd_doctoral/506