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Wireless Pers Commun DOI 10.1007/s11277-009-9776-2
 

Summary: Wireless Pers Commun
DOI 10.1007/s11277-009-9776-2
Cyclostationarity-Based Modulation Classification
of Linear Digital Modulations in Flat Fading Channels
Octavia A. Dobre Ali Abdi Yeheskel Bar-Ness
Wei Su
Springer Science+Business Media, LLC. 2009
Abstract Modulation classification is an intermediate step between signal detection and
demodulation, and plays a key role in various civilian and military applications. In this cor-
respondence, higher-order cyclic cumulants (CCs) are explored to discriminate linear digital
modulations in flat fading channels. Single- and multi-antenna CC-based classifiers are inves-
tigated. These benefit from the robustness of the CC-based features to unknown phase and
timing offset. Furthermore, the latter provides significant performance improvement due to
spatial diversity used to combat the fading effect. Classifier performances are investigated
under a variety of channel conditions. In addition, analytical closed-form expressions for
the cyclic cumulant polyspectra of linearly digitally modulated signals affected by fading,
carrier frequency and timing offsets, and additive Gaussian noise are derived, along with a
condition for the oversampling factor to avoid aliasing in the cycle and spectral frequency
domains.
Keywords Antenna arrays Automatic modulation classification Cycle aliasing

  

Source: Abdi, Ali - Department of Electrical and Computer Engineering, New Jersey Institute of Technology

 

Collections: Engineering