What is he best known for?
The fields of study he is best known for:
- Statistics
- Algorithm
- Radar
His main research concerns Algorithm, Covariance matrix, Radar, Constant false alarm rate and Electronic engineering.
His work deals with themes such as Covariance and Mathematical optimization, which intersect with Algorithm.
His biological study spans a wide range of topics, including Likelihood-ratio test and Gaussian process.
His studies deal with areas such as Stochastic process, Quadratic programming and Constrained optimization as well as Radar.
His Constant false alarm rate research includes themes of Detector, Space-time adaptive processing, Gaussian noise and Pattern recognition.
His Electronic engineering research incorporates elements of Signal-to-interference-plus-noise ratio, Clutter and Waveform.
His most cited work include:
- GLRT-based adaptive detection algorithms for range-spread targets (259 citations)
- Recursive estimation of the covariance matrix of a compound-Gaussian process and its application to adaptive CFAR detection (232 citations)
- Design Principles of MIMO Radar Detectors (230 citations)
What are the main themes of his work throughout his whole career to date?
A. De Maio spends much of his time researching Algorithm, Radar, Covariance matrix, Constant false alarm rate and Electronic engineering.
His studies in Algorithm integrate themes in fields like Detector, Spread spectrum, Detection theory, Code division multiple access and Likelihood-ratio test.
His Radar research is multidisciplinary, incorporating perspectives in Waveform and Mathematical optimization.
His Covariance matrix research includes themes of Covariance, Gaussian process, Artificial intelligence and Pattern recognition.
His Constant false alarm rate study integrates concerns from other disciplines, such as False alarm, Control theory, Speech recognition, Matched filter and Gaussian noise.
In general Electronic engineering study, his work on Adaptive filter often relates to the realm of Jamming, thereby connecting several areas of interest.
He most often published in these fields:
- Algorithm (45.61%)
- Radar (39.18%)
- Covariance matrix (33.33%)
What were the highlights of his more recent work (between 2013-2021)?
- Radar (39.18%)
- Electronic engineering (26.90%)
- Algorithm (45.61%)
In recent papers he was focusing on the following fields of study:
A. De Maio mainly investigates Radar, Electronic engineering, Algorithm, Waveform and Clutter.
His Radar research is multidisciplinary, incorporating elements of Transmitter, Mathematical optimization, Artificial intelligence and Pattern recognition.
His Electronic engineering research integrates issues from Detector, Radio spectrum, Interference, Spectrum analyzer and Arbitrary waveform generator.
His work on Likelihood-ratio test expands to the thematically related Algorithm.
His research investigates the connection between Clutter and topics such as Spectral density that intersect with problems in Cognitive radio, Gaussian noise, Matched filter and Phase noise.
A. De Maio interconnects Covariance matrix, Statistic, Continuous-wave radar and Pulse-Doppler radar in the investigation of issues within Constant false alarm rate.
Between 2013 and 2021, his most popular works were:
- Radar waveform design in a spectrally crowded environment via nonconvex quadratic optimization (156 citations)
- A new radar waveform design algorithm with improved feasibility for spectral coexistence (143 citations)
- Forcing Multiple Spectral Compatibility Constraints in Radar Waveforms (63 citations)
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