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 …
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 …
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 …
Automatic modulation classification in impulsive noise: Hyperbolic-tangent cyclic spectrum and multibranch attention shuffle network
Automatic modulation classification plays an essential role in cognitive communication
systems. Traditional automatic modulation classification approaches are primarily …
systems. Traditional automatic modulation classification approaches are primarily …
Robust Modulation Classification Over -Stable Noise Using Graph-Based Fractional Lower-Order Cyclic Spectrum Analysis
This paper introduces a novel automatic modulation classification (AMC) method using the
graph-based fractional lower-order cyclic-spectrum analysis in the α-stable noise …
graph-based fractional lower-order cyclic-spectrum analysis in the α-stable noise …
Identification of SM-OFDM and AL-OFDM signals based on their second-order cyclostationarity
Automatic signal identification (ASI) has important applications to both commercial and
military communications, such as software-defined radio, cognitive radio, spectrum …
military communications, such as software-defined radio, cognitive radio, spectrum …
Blind identification of SM and Alamouti STBC-OFDM signals
YA Eldemerdash, OA Dobre… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
This paper proposes an efficient identification algorithm for spatial multiplexing (SM) and
Alamouti (AL) coded orthogonal frequency-division multiplexing (OFDM) signals. The cross …
Alamouti (AL) coded orthogonal frequency-division multiplexing (OFDM) signals. The cross …
Innovative robust modulation classification using graph-based cyclic-spectrum analysis
A novel automatic modulation classification method based on the graph presentation of the
cyclic spectrum is proposed. In our proposed scheme, the periodicity and the symmetry of …
cyclic spectrum is proposed. In our proposed scheme, the periodicity and the symmetry of …
Blind identification of spatial multiplexing and Alamouti space-time block code via Kolmogorov-Smirnov (KS) test
M Mohammadkarimi, OA Dobre - IEEE Communications Letters, 2014 - ieeexplore.ieee.org
A novel algorithm for blind identification of spatial multiplexing and Alamouti space-time
block code is proposed in this paper. It relies on the Kolmogrov-Smirnov test, and employs …
block code is proposed in this paper. It relies on the Kolmogrov-Smirnov test, and employs …
Signal augmentations oriented to modulation recognition in the realistic scenarios
The recent years had witnessed a resurgence on neural network. Many hidden layers were
stacked hierarchically to learn the high-level representations. Great performances were …
stacked hierarchically to learn the high-level representations. Great performances were …