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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

نویسنده:
Yishan He , Yufan Cheng , Gang Wu , Shaoqian Li
ناشر:
IEEE
سال
: 2014
شناسه الکترونیک: 10.1109/PESGM.2014.6939434
یو آر آی: http://libsearch.um.ac.ir:80/fum/handle/fum/984427
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 authorYishan He , Yufan Cheng , Gang Wu , Shaoqian Li
date accessioned2020-03-12T19:38:13Z
date available2020-03-12T19:38:13Z
date issued2014
identifier other6785416.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/984427
formatgeneral
languageEnglish
publisherIEEE
titlePerformance analysis of coherently detected FFH/BPSK with maximal ratio combining receiver over Rayleigh fading channel with multitone jamming and imperfect channel estimation
typeConference Paper
contenttypeMetadata Only
identifier padid8099864
subject keywordsbattery management systems
subject keywordsbattery powered vehicles
subject keywordsdiscrete event simulation
subject keywordspower grids
subject keywordsModelica-based physical simulation engine
subject keywordsagent-based discrete event simulator
subject keywordsco-simulation platform
subject keywordsdomain-specific modeling solutions
subject keywordsdynamic demand response
subject keywordsenergy grids
subject keywordsflexible-demand EV charging management
subject keywordshybrid component models
subject keywordsintelligent electric vehicle charging
subject keywordsintelligent energy systems
subject keywordspower system simulation tool
subject keywordsuniversal modeling languages
subject keywordsArtificial intelligence
subject keywordsComplexit
identifier doi10.1109/PESGM.2014.6939434
journal titleomputing, Networking and Communications (ICNC), 2014 International Conference on
filesize457071
citations0
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