Cyclostationarity: New trends and applications
A Napolitano - Signal processing, 2016 - Elsevier
A concise survey of the literature on cyclostationarity of the last 10 years is presented and an
extensive bibliography included. The problems of statistical function estimation, signal …
extensive bibliography included. The problems of statistical function estimation, signal …
Signal identification for multiple-antenna wireless systems: Achievements and challenges
YA Eldemerdash, OA Dobre… - … Surveys & Tutorials, 2016 - ieeexplore.ieee.org
Signal identification is an umbrella term for signal processing techniques designed for the
identification of the transmission parameters of unknown or partially known communication …
identification of the transmission parameters of unknown or partially known communication …
Adversarial transfer learning for deep learning based automatic modulation classification
Automatic modulation classification facilitates many important signal processing
applications. Recently, deep learning models have been adopted in modulation recognition …
applications. Recently, deep learning models have been adopted in modulation recognition …
Signal identification for emerging intelligent radios: Classical problems and new challenges
OA Dobre - IEEE Instrumentation & Measurement Magazine, 2015 - ieeexplore.ieee.org
Signal identification, which initially found applications in electronic warfare and spectrum
monitoring and surveillance, has been recently considered for commercial communications …
monitoring and surveillance, has been recently considered for commercial communications …
Cyclic feature detection with sub-Nyquist sampling for wideband spectrum sensing
For cognitive radio networks, efficient and robust spectrum sensing is a crucial enabling step
for dynamic spectrum access. Cognitive radios need to not only rapidly identify spectrum …
for dynamic spectrum access. Cognitive radios need to not only rapidly identify spectrum …
Timing and carrier synchronization in wireless communication systems: a survey and classification of research in the last 5 years
Timing and carrier synchronization is a fundamental requirement for any wireless
communication system to work properly. Timing synchronization is the process by which a …
communication system to work properly. Timing synchronization is the process by which a …
Second-order cyclostationarity of mobile WiMAX and LTE OFDM signals and application to spectrum awareness in cognitive radio systems
OA Dobre, R Venkatesan… - IEEE Journal of Selected …, 2011 - ieeexplore.ieee.org
Spectrum sensing and awareness are challenging requirements in cognitive radio (CR). To
adequately adapt to the changing radio environment, it is necessary for the CR to detect the …
adequately adapt to the changing radio environment, it is necessary for the CR to detect the …
Modulation recognition using signal enhancement and multistage attention mechanism
Robustness against noise is critical for modulation recognition (MR) approaches deployed
in real-world communication systems. In MR systems, a corrupted signal is normally …
in real-world communication systems. In MR systems, a corrupted signal is normally …
Filtered multicarrier waveforms classification: a deep learning-based approach
Automatic signal recognition (ASR) plays an important role in various applications such as
dynamic spectrum access and cognitive radio, hence it will be a key enabler for beyond 5G …
dynamic spectrum access and cognitive radio, hence it will be a key enabler for beyond 5G …
Modulation classification based on fourth-order cumulants of superposed signal in NOMA systems
T Li, Y Li, OA Dobre - IEEE Transactions on Information …, 2021 - ieeexplore.ieee.org
In this paper, we study the automatic modulation classification in a non-orthogonal multiple
access system. To mitigate the effect of interference, a likelihood-based algorithm and a …
access system. To mitigate the effect of interference, a likelihood-based algorithm and a …