Cyclostationarity-based modulation classification of linear digital modulations in flat fading channels

Document Type

Article

Publication Date

9-1-2010

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 correspondence, higher-order cyclic cumulants (CCs) are explored to discriminate linear digital modulations in flat fading channels. Single- and multi-antenna CC-based classifiers are investigated. 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. © 2009 Springer Science+Business Media, LLC.

Identifier

79954634006 (Scopus)

Publication Title

Wireless Personal Communications

External Full Text Location

https://doi.org/10.1007/s11277-009-9776-2

ISSN

09296212

First Page

699

Last Page

717

Issue

4

Volume

54

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