On the Spectral Correlation of UWB Impulse Radio Signals

Autor: Menguc Oner
Přispěvatelé: Işık Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü, Işık University, Faculty of Engineering, Department of Electrical-Electronics Engineering, Öner, Mustafa Mengüç
Rok vydání: 2008
Předmět:
UWB impulse radio signals
Cyclic autocorrelation
Cyclostationary
Statistical methods
Cyclostationary process
Ultra-wideband
Impulse (physics)
Ultra Wideband
Carbon fiber reinforced plastics
Spectral Correlation
Mathematics
Signal processing
Statistics
Spectral correlations
Signal design
Channel capacity
Computer Science Applications
Signal analysis
Correlation methods
Impulse radio systems
Autocorrelation
Ultra wideband technology
Modeling and Simulation
Wideband
Signal of interests
Signal processing tasks
Regression analysis
Cyclic statistics
Spectral correlation density
Higher-order statistics
Communication channels (information theory)
Analytical expressions
Second order cyclic statistics
Cyclostationarity
UWB Impulse radios
Algorithm design and analysis
Electronic engineering
Ultra wideband communication
Electrical and Electronic Engineering
Communication signals
Higher order statistics
business.industry
Telecommunication systems
Spectral density
Frequency
Radio
Impulse noise
Spectral correlation densities
Process design
Signal processing algorithms
Telecommunications
business
Signal processing systems
Zdroj: IEEE Communications Letters. 12:714-716
ISSN: 1089-7798
DOI: 10.1109/lcomm.2008.080941
Popis: Cyclostationarity is an inherent characteristic of many communication signals, which can be exploited for performing various signal processing tasks. Determining the cyclic statistics of a signal of interest is often necessary in the design of signal processing systems exploiting this cyclostationary behaviour. This work investigates the second order cyclic statistics of various signalling schemes employed in ultra wideband impulse radio systems. Analytical expressions are derived for the cyclic autocorrelation and spectral correlation density functions. Publisher's Version Q2 WOS:000260000200004
Databáze: OpenAIRE
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