Generalizations of Cyclostationary Signal Processing: Spectral Analysis and Applications

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John Wiley & Sons, Dec 7, 2012 - Technology & Engineering - 504 pages

The relative motion between the transmitter and the receiver modifies the nonstationarity properties of the transmitted signal. In particular, the almost-cyclostationarity property exhibited by almost all modulated signals adopted in communications, radar, sonar, and telemetry can be transformed into more general kinds of nonstationarity. A proper statistical characterization of the received signal allows for the design of signal processing algorithms for detection, estimation, and classification that significantly outperform algorithms based on classical descriptions of signals.Generalizations of Cyclostationary Signal Processing addresses these issues and includes the following key features:

  • Presents the underlying theoretical framework, accompanied by details of their practical application, for the mathematical models of generalized almost-cyclostationary processes and spectrally correlated processes; two classes of signals finding growing importance in areas such as mobile communications, radar and sonar.
  • Explains second- and higher-order characterization of nonstationary stochastic processes in time and frequency domains.
  • Discusses continuous- and discrete-time estimators of statistical functions of generalized almost-cyclostationary processes and spectrally correlated processes.
  • Provides analysis of mean-square consistency and asymptotic Normality of statistical function estimators.
  • Offers extensive analysis of Doppler channels owing to the relative motion between transmitter and receiver and/or surrounding scatterers.
  • Performs signal analysis using both the classical stochastic-process approach and the functional approach, where statistical functions are built starting from a single function of time.
 

Selected pages

Contents

List of Abbreviations
Generalized AlmostCyclostationary Processes
Complements and Proofs on Generalized
Spectrally Correlated Processes
Complements and Proofs on Spectrally
Periodogram
Functional Approach for Signal Analysis
Applications to Mobile Communications
1Physical Model for the Wireless Channel
Bibliographic Notes
Index
Copyright

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Generalizations of Cyclostationary Signal Processing: Spectral Analysis and ...
Antonio Napolitano
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Common terms and phrases

ACS processes ACS signal aliasing almost­cyclostationary almost­periodic almost­periodic function Assumption bandwidth bifrequency cross­periodogram canbe characterized complex Normal complex­valued conjugate covariance continuous­time convergence correlogram countable set cross­ cumulant cyclic autocorrelation function cyclic correlogram cyclic cross­correlation function cyclic cross­correlogram cyclic spectrum cyclostationary data­record length data­tapering window regularity defined denotes discrete­time discrete­time cyclic discrete­time signal Doppler channel equation equation where img expected value finite follows Fourier series Fourier transform frequency­smoothed cross­periodogram function img GACS Gardner higher­order Hurd IEEE IEEE Transactions img and img inthe Izzo and Napolitano Kronecker delta Lebesgue measure Lemma Loève bifrequency cross­spectrum Loève bifrequency spectrum mean­square consistent Moreover multipath Napolitano 2003 nonstationary nonzero Nth­order obtained ofthe PAM signal period periodogram random variables relative radial Section Signal Processing sinewave spectral correlation density spectral cross­correlation density stationary stochastic processes strictly band­limited sufficient condition support curves time­smoothed wide­sense zero zero­mean

About the author (2012)

Antonio Napolitano, University of Napoli "Parthenope", Italy
Dr. Napolitano is currently Professor of Telecommunications at the University of Napoli "Parthenope". He is a Senior Member of IEEE. He has been a member of various journal editorial boards such as Signal Processing (Elsevier) and Journal of Electrical and Computer Engineering (Hindawi). He is the principal investigator of a NATO Grant on Communications Security. Recent awards include 2008 Most Cited Paper Award from Elsevier for a paper co-authored with W. A. Gardner and L. Paura entitled "Cyclostationarity: Half a century of research" (Signal Processing, vol. 86, April 2006), the most cited article in the last 5 years on Signal Processing (Elsevier); and in the 10 top most downloaded articles in the journal. Dr. Napolitano has held visiting appointments including: University Jeann Monnet, France; University of South Australia and Centro de Investigacion en Matematicas (CIMAT), Mexico. His research interests include statistical signal processing, system identification, the theory of higher order statistics of nonstationary signals and wireless systems.

Bibliographic information

TitleGeneralizations of Cyclostationary Signal Processing: Spectral Analysis and Applications
IEEE Press
AuthorAntonio Napolitano
PublisherJohn Wiley & Sons, 2012
ISBN1118437918, 9781118437919
Length504 pages
Subjects ›  › 

Technology & Engineering / Electrical
Technology & Engineering / Electronics / General
Technology & Engineering / Signals & Signal Processing
  
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