What is he best known for?
The fields of study he is best known for:
- Telecommunications
- Optics
- Electrical engineering
Ernst Bonek mainly investigates Electronic engineering, Communication channel, MIMO, Multipath propagation and Transmitter.
His Electronic engineering research is multidisciplinary, incorporating elements of Smart antenna, Measure, Robustness and Antenna.
His Communication channel research incorporates themes from Wireless, Acoustics, Energy and Covariance matrix.
His research in MIMO intersects with topics in Antenna array and Channel capacity.
As part of one scientific family, he deals mainly with the area of Multipath propagation, narrowing it down to issues related to the Wideband, and often Estimation of signal parameters via rotational invariance techniques and Delay spread.
His Transmitter study is related to the wider topic of Telecommunications.
His most cited work include:
- A stochastic MIMO channel model with joint correlation of both link ends (464 citations)
- The double-directional radio channel (459 citations)
- Survey of channel and radio propagation models for wireless MIMO systems (416 citations)
What are the main themes of his work throughout his whole career to date?
Ernst Bonek mostly deals with Electronic engineering, MIMO, Communication channel, Algorithm and Telecommunications.
His Electronic engineering research is multidisciplinary, incorporating perspectives in Antenna, Telecommunications link, Base station and Smart antenna.
His study focuses on the intersection of Antenna and fields such as Acoustics with connections in the field of Electrical engineering.
His work carried out in the field of MIMO brings together such families of science as Transmitter and Channel capacity.
His study in the field of Multipath propagation is also linked to topics like Elevation.
His research investigates the link between Algorithm and topics such as Fading that cross with problems in Minimum-shift keying.
He most often published in these fields:
- Electronic engineering (36.76%)
- MIMO (20.00%)
- Communication channel (20.00%)
What were the highlights of his more recent work (between 2001-2014)?
- MIMO (20.00%)
- Electronic engineering (36.76%)
- Communication channel (20.00%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include MIMO, Electronic engineering, Communication channel, Multipath propagation and Algorithm.
His study in MIMO is interdisciplinary in nature, drawing from both Transmitter and Channel capacity.
His Transmitter study combines topics in areas such as Radio propagation, Mutual information and Rayleigh fading.
Ernst Bonek interconnects Duplex, GSM and Mimo channel in the investigation of issues within Electronic engineering.
The various areas that Ernst Bonek examines in his Communication channel study include Wireless, Acoustics, Scattering, Electrical engineering and Topology.
His Multipath propagation study combines topics from a wide range of disciplines, such as Covariance matrix and Impulse response.
Between 2001 and 2014, his most popular works were:
- A stochastic MIMO channel model with joint correlation of both link ends (464 citations)
- Survey of channel and radio propagation models for wireless MIMO systems (416 citations)
- Capacity of MIMO systems based on measured wireless channels (312 citations)
In his most recent research, the most cited papers focused on:
- Telecommunications
- Electrical engineering
- Optics
Ernst Bonek spends much of his time researching MIMO, Communication channel, Electronic engineering, Channel capacity and Transmitter.
His MIMO research is multidisciplinary, relying on both Algorithm and Spatial correlation.
His Communication channel research integrates issues from Wireless, Acoustics, Antenna array and Topology.
His study connects Multipath propagation and Electronic engineering.
His study looks at the relationship between Channel capacity and topics such as Precoding, which overlap with Virtual channel.
His Transmitter study improves the overall literature in Telecommunications.
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.
