Our research expertise is multidisciplinary and is at the intersection of telecommunications theory, digital wireless communication, applied signal processing and mathematics, antennas and electromagnetic wave propagations, information theory and radio navigation. 

Please see the following link for an overview of our research or the brief description below.


In Telecommunications, a major interest of the group (up to 2009) was to study and promote space-time signal processing and multiple-transmitter multiple-receiver (MTMR) antenna technology in wireless communication systems. This is also known as multiple-input multiple-output (MIMO) technology. While a variant of this approach was proposed as an option for third generation (3G) mobile systems, multiple antennas will be mandatory in next generation wireless communication systems. MTMR antenna systems are important since they increase potential data rate or capacity through multiplexing gain and enhance link quality through diversity benefit. We have applied this technology to different systems including indoor communications, cellular mobile radio terminals, satellite systems and High Altitude Platforms (HAPs). 

In addition, the group has always been at the forefront of research into advanced Telecommunication systems and novel technologies such as High Altitude Platforms, LTE, Cognitive Radio, Cooperative Communications, WiMAX, and short-range wireless communication systems, etc.

Please see Research Projects on the left menu for more information about these reserach projects.


In Radio Navigation, the main goal of our research is to investigate novel signal processing techniques for mitigating interference sources in order to enhance the performance and precision in radio navigation systems. In particular, Professor Abbas Mohammed has discovered new signal processing techniques for the identification of skywave interference in long range navigation (Loran-C) receivers and demonstrated them in a prototype receiver working in real-time. This work has received the Best Paper Award from the International Loran Association (ILA), USA.



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