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.
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Abbreviations
- ASK:
-
Amplitude shift keying
- AWGN:
-
Additive white Gaussian noise
- BPSK:
-
Binary phase shift keying
- CC:
-
Cyclic cumulant
- CF:
-
Cycle frequency
- CCP:
-
Cyclic cumulant polyspectrum
- FB:
-
Feature based
- FIR:
-
Finite impulse response
- LB:
-
Likelihood based
- MC:
-
Modulation classification
- OFDM:
-
Orthogonal frequency division multiplexing
- PSK:
-
Phase shift keying
- QAM:
-
Quadrature amplitude modulation
- QPSK:
-
Quadrature PSK
- SNR:
-
Signal-to-noise ratio
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Part of this work was published in a preliminary form and presented at the IEEE Military Communication Conference (MILCOM) 2003 and 2005, USA, under the titles “Higher-order cyclic cumulants for high order modulation classification,” and “Selection combining for modulation recognition in fading channels,” respectively.
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Dobre, O.A., Abdi, A., Bar-Ness, Y. et al. Cyclostationarity-Based Modulation Classification of Linear Digital Modulations in Flat Fading Channels. Wireless Pers Commun 54, 699–717 (2010). https://doi.org/10.1007/s11277-009-9776-2
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DOI: https://doi.org/10.1007/s11277-009-9776-2