What is he best known for?
The fields of study he is best known for:
- Telecommunications
- Statistics
- Radar
Daniel W. Bliss mainly investigates Electronic engineering, MIMO, Radar, Telecommunications and Wireless.
Specifically, his work in Electronic engineering is concerned with the study of Multiuser detection.
His biological study spans a wide range of topics, including Transmitter, Wireless network, Signal-to-noise ratio and Estimation theory.
His Transmitter research is multidisciplinary, incorporating elements of Transmission, Duplex and Communication channel.
In his research on the topic of Radar, Colors of noise and Noise is strongly related with Waveform.
The Wireless study which covers Computer network that intersects with Frequency band, Fixed wireless, Cognitive radio and Wi-Fi array.
His most cited work include:
- In-Band Full-Duplex Wireless: Challenges and Opportunities (1461 citations)
- Multiple-input multiple-output (MIMO) radar and imaging: degrees of freedom and resolution (547 citations)
- Full-Duplex Bidirectional MIMO: Achievable Rates Under Limited Dynamic Range (317 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Electronic engineering, MIMO, Radar, Wireless and Communication channel.
His Electronic engineering study combines topics in areas such as Transmitter, Space-time adaptive processing, Interference and Precoding.
His MIMO research integrates issues from Control theory and Topology.
His work deals with themes such as Waveform and Communications system, which intersect with Radar.
The Wireless study combines topics in areas such as Computer network and Orthogonal frequency-division multiplexing.
When carried out as part of a general Communication channel research project, his work on Fading is frequently linked to work in Context, therefore connecting diverse disciplines of study.
He most often published in these fields:
- Electronic engineering (38.38%)
- MIMO (29.29%)
- Radar (28.28%)
What were the highlights of his more recent work (between 2018-2021)?
- Radar (28.28%)
- Real-time computing (7.58%)
- Communications system (13.13%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Radar, Real-time computing, Communications system, Waveform and Algorithm.
His studies in Radar integrate themes in fields like Motion, Breathing, Electronic engineering, Joint and Robustness.
Electronic engineering and Chirp are two areas of study in which he engages in interdisciplinary research.
His work investigates the relationship between Waveform and topics such as Communication channel that intersect with problems in Remote sensing.
His studies deal with areas such as Network information theory and Gaussian interference as well as Algorithm.
His Wireless study integrates concerns from other disciplines, such as Reliability and Situation awareness.
Between 2018 and 2021, his most popular works were:
- RadChat: Spectrum Sharing for Automotive Radar Interference Mitigation (25 citations)
- Novel Radar Waveform Optimization for a Cooperative Radar-Communications System (13 citations)
- Remote Sensing for Vital Information Based on Spectral-Domain Harmonic Signatures (12 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Telecommunications
- Radar
Daniel W. Bliss focuses on Radar, Wireless, Algorithm, Communications system and Waveform.
Daniel W. Bliss has researched Radar in several fields, including Electronic engineering, Real-time computing, Artificial intelligence and Computer vision.
He integrates many fields in his works, including Electronic engineering and Chirp.
His research in Wireless intersects with topics in Communication channel, Fading and Gaussian noise.
His research integrates issues of Harmonic analysis, Key, Joint and Harmonic in his study of Algorithm.
Daniel W. Bliss combines subjects such as Heartbeat and Communications receiver with his study of Waveform.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
