Klasifikacija linearnih diskretnih modulacija temeljena na statistici višeg reda

Čular, Ema

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scientific master's theses

Klasifikacija linearnih diskretnih modulacija temeljena na statistici višeg reda

Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2002. urn:nbn:hr:168:162810

Čular, Ema

University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Communication and Space Technologies

Cite this document

APA 6th Edition

Čular, E. (2002). Klasifikacija linearnih diskretnih modulacija temeljena na statistici višeg reda (Scientific master's theses). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:162810

MLA 8th Edition

Čular, Ema. "Klasifikacija linearnih diskretnih modulacija temeljena na statistici višeg reda." Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, 2002. https://urn.nsk.hr/urn:nbn:hr:168:162810

Chicago 17th Edition

Harvard

Čular, E. (2002). 'Klasifikacija linearnih diskretnih modulacija temeljena na statistici višeg reda', Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 30 September 2023, https://urn.nsk.hr/urn:nbn:hr:168:162810

Vancouver

Čular E. Klasifikacija linearnih diskretnih modulacija temeljena na statistici višeg reda [Scientific master's theses]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2002 [cited 2023 September 30] Available at: https://urn.nsk.hr/urn:nbn:hr:168:162810

IEEE

E. Čular, "Klasifikacija linearnih diskretnih modulacija temeljena na statistici višeg reda", Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2002. Available at: https://urn.nsk.hr/urn:nbn:hr:168:162810

Cite this item: https://urn.nsk.hr/urn:nbn:hr:168:162810

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Metadata

Title	Klasifikacija linearnih diskretnih modulacija temeljena na statistici višeg reda
Title (english)	Linear Discrete Modulations Classification Based on Higher-order Statistics
Author	Ema Čular
Mentor	Borivoj Modlic (mentor)
Committee member	Vjekoslav Sinković (predsjednik povjerenstva)
Committee member	Borivoj Modlic (član povjerenstva)
Committee member	Miljenko Huzak (član povjerenstva)
Granter	University of Zagreb Faculty of Electrical Engineering and Computing (Department of Communication and Space Technologies) Zagreb
Defense date and country	2002-10-29, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Electrical Engineering Radio Communications
Universal decimal classification (UDC)	621.3 - Electrical engineering
Abstract	U ovom radu istražene su mogućnosti klasifikacije linearno diskretno moduliranih signala metodama oslonjenim na statistiku višeg reda. U tu svrhu postavljen je jedinstveni matematički model signala. Analizirane su korelacijske funkcije momenta i kumulanta višeg reda kompleksnog modulacijskog signala u diskretnom modelu u njegovom ciklostacionarnom opisu. Postavljen je klasifikacijski postupak koji se temelji na izravnoj procjeni kumulanata četvrtog reda digitalnog modulacijskog znaka. Postupak je osobit po tome što ne zahtijeva poznavanje valnog oblika modulacijskog simbola. Eksperimentalni rezultati na sintetičkim signalima sa superponiranim uskopojasnim Gaussovim šumom za četiri različita valna oblika modulacijskog simbola potvrđuju da je klasifikator primjenjiv čak i u slučaju interferencije među simbolima. Procjena momenata vršena je usrednjavanjem preko polifaznih komponenti signala. Točnost klasifikatora bolja je za modulacijske postupke s manje stanja u dijagramu, a degradira se s pogoršanjem odnosa signal/šum. Klasifikator vrlo dobro raspoznaje osnovne grupe klasifikacijskih postupaka (MPSK, MASK, MQAM s kvadratnim i MQAM s križnim dijagramom stanja).
Abstract (english)	We consider classification of linear digitally modulated signals based on the higher order statistics. The uniquely model of signal is established. Moment and cumulant based higher order correlation functions of complex envelope in cyclostacionary description are analyzed. We propose the method for modulation classification based on the direct estimation of fourth-order cumulants of digital modulation symbols. We hold this method original because the pulse shape is assumed to be unknown. Simulation results with various types of modulation corrupted by additive narrowband Gaussian noise and with four various pulse shapes confirms that classifier is usable even when ISI is presented. Estimation of moments is performed by averaging through polyphase components. The classifier performances are better for modulation types with simpler constellation diagrams and degrade with signal to-noise ratio. The high discrimination between main modulation groups (MPSK, MASK, square constellation QAM and cross constellation QAM) is achieved.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:168:162810
Study programme	Title: Postgraduate master programme in electrical engineering Study programme type: university Study level: postgraduate Academic / professional title: Magistar znanosti elektrotehnike (Magistar znanosti elektrotehnike)
Type of resource	Text
File origin	Born digital
Access conditions	Closed access
Terms of use
Repository	FER Repository
Created on	2019-04-30 07:47:57