2015 - IEEE Fellow For contributions to adaptive sensor systems in radar and communications
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 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.
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.
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.
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In-Band Full-Duplex Wireless: Challenges and Opportunities
Ashutosh Sabharwal;Philip Schniter;Dongning Guo;Daniel W. Bliss.
IEEE Journal on Selected Areas in Communications (2014)
Multiple-input multiple-output (MIMO) radar and imaging: degrees of freedom and resolution
D.W. Bliss;K.W. Forsythe.
asilomar conference on signals, systems and computers (2003)
Full-Duplex Bidirectional MIMO: Achievable Rates Under Limited Dynamic Range
B. P. Day;A. R. Margetts;D. W. Bliss;P. Schniter.
asilomar conference on signals, systems and computers (2011)
Full-duplex MIMO relaying: Achievable rates under limited dynamic range
Brian P. Day;Adam R. Margetts;Daniel W. Bliss;Philip Schniter.
asilomar conference on signals, systems and computers (2012)
Multiple-input multiple-output (MIMO) radar: performance issues
K.W. Forsythe;D.W. Bliss;G.S. Fawcett.
asilomar conference on signals, systems and computers (2004)
Range Compression and Waveform Optimization for MIMO Radar: A CramÉr–Rao Bound Based Study
Jian Li;Luzhou Xu;P. Stoica;K.W. Forsythe.
IEEE Transactions on Signal Processing (2008)
Simultaneous Transmission and Reception for Improved Wireless Network Performance
D. W. Bliss;P. A. Parker;A. R. Margetts.
2007 IEEE/SP 14th Workshop on Statistical Signal Processing (2007)
Survey of RF Communications and Sensing Convergence Research
Bryan Paul;Alex R. Chiriyath;Daniel W. Bliss.
IEEE Access (2017)
Inner Bounds on Performance of Radar and Communications Co-Existence
Alex R. Chiriyath;Bryan Paul;Garry M. Jacyna;Daniel W. Bliss.
IEEE Transactions on Signal Processing (2016)
Radar-Communications Convergence: Coexistence, Cooperation, and Co-Design
Alex R. Chiriyath;Bryan Paul;Daniel W. Bliss.
IEEE Transactions on Cognitive Communications and Networking (2017)
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