Performance analysis of coherently detected FFH/BPSK with maximal ratio combining receiver over Rayleigh fading channel with multitone jamming and imperfect channel estimation
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سال
: 2014شناسه الکترونیک: 10.1109/PESGM.2014.6939434
کلیدواژه(گان): battery management systems,battery powered vehicles,discrete event simulation,power grids,Modelica-based physical simulation engine,agent-based discrete event simulator,co-simulation platform,domain-specific modeling solutions,dynamic demand response,energy grids,flexible-demand EV charging management,hybrid component models,intelligent electric vehicle charging,intelligent energy systems,power system simulation tool,universal modeling languages,Artificial intelligence,Complexit
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Performance analysis of coherently detected FFH/BPSK with maximal ratio combining receiver over Rayleigh fading channel with multitone jamming and imperfect channel estimation
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contributor author | Yishan He , Yufan Cheng , Gang Wu , Shaoqian Li | |
date accessioned | 2020-03-12T19:38:13Z | |
date available | 2020-03-12T19:38:13Z | |
date issued | 2014 | |
identifier other | 6785416.pdf | |
identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/984427 | |
format | general | |
language | English | |
publisher | IEEE | |
title | Performance analysis of coherently detected FFH/BPSK with maximal ratio combining receiver over Rayleigh fading channel with multitone jamming and imperfect channel estimation | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8099864 | |
subject keywords | battery management systems | |
subject keywords | battery powered vehicles | |
subject keywords | discrete event simulation | |
subject keywords | power grids | |
subject keywords | Modelica-based physical simulation engine | |
subject keywords | agent-based discrete event simulator | |
subject keywords | co-simulation platform | |
subject keywords | domain-specific modeling solutions | |
subject keywords | dynamic demand response | |
subject keywords | energy grids | |
subject keywords | flexible-demand EV charging management | |
subject keywords | hybrid component models | |
subject keywords | intelligent electric vehicle charging | |
subject keywords | intelligent energy systems | |
subject keywords | power system simulation tool | |
subject keywords | universal modeling languages | |
subject keywords | Artificial intelligence | |
subject keywords | Complexit | |
identifier doi | 10.1109/PESGM.2014.6939434 | |
journal title | omputing, Networking and Communications (ICNC), 2014 International Conference on | |
filesize | 457071 | |
citations | 0 |