Tutorials

2014 IEEE Workshop on Statistical Signal Processing

Cyclostationary Signal Processing and its Generalizations

Antonio Napolitano, University of Napoli “Parthenope”

Abstract

In this tutorial, a review of cyclostationarity-based signal processing techniques for weak-signal detection, source location, and modulation classification will be presented [1]. Application to radar/sonar and cognitive radio will be considered. New classes of processes that generalize the cyclostationary model will be also reviewed [4], [5]. For these classes, the basic problems of probabilistic characterization, statistical function estimation, and sampling will be addressed [2], [3], [4], [5]. It will be shown how the new models allow one to remove constraints imposed by the so-called narrow-band condition [4, Sec. 7.5.1] which is necessary for cyclostationarity-based algorithms. With respect to cyclostationarity-based algorithms, the new models will allow one to consider scenarios with wider bandwidths, larger relative radial speeds between transmitter and receiver, larger data-record lengths, and lower values of SNR and SIR [5]. Cyclostationary signal processing, cognitive radio and radar, and wide-band mobile communications are hot topics for the signal processing community. A tutorial on consolidated and emerging results in these topics is of interest for attendees of SSP 2014.

References

1. W. A. Gardner, A. Napolitano, and L. Paura, “Cyclostationarity: Half a century of research,” Signal Processing, vol. 86, no. 4, pp. 639–697, April 2006.
2. A. Napolitano and M. Tesauro, “Almost-periodic higher-order statistic estimation,” IEEE Transactions on Information Theory, vol. 57, no. 1, pp. 514–533, January 2011.
3. A. Napolitano, “Sampling of spectrally correlated processes,” IEEE Transactions on Signal Processing, vol. 59, no. 2, pp. 525–539, February 2011.
4. A. Napolitano, Generalizations of Cyclostationary Signal Processing: Spectral Analysis and Applications. John Wiley & Sons Ltd – IEEE Press, 2012.
5. A. Napolitano, “Generalizations of cyclostationarity: A new paradigm for signal processing for mobile communications, radar, and sonar,” IEEE Signal Processing Magazine, vol. 30, no. 6, pp. 53–63, November 2013.

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