Sultan Alshirah
Wed 11 Apr 2018, 13:00 - 14:00
Hudson Beare Building - Classroom 7

If you have a question about this talk, please contact: Ardimas Purwita (s1600157)

Image for Improved 2-class Target Classification Performance using Radar Waveform Design

Sultan Alshirah is a PhD student in digital communications at the University of Edinburgh.

Abstract:

This work establishes the importance of radar waveforms in determining classification performance in radar systems. The objective is to design a radar waveform to minimise the probability of target misclassification in a 2-class problem while satisfying an energy constraint. The derivation results in a simple analytical form for the spectrum of the optimal signal. An example is presented showing the improvement in classification performance of the optimal waveform over a linearly frequency modulated waveform.

Biography:

Sultan Alshirah received his BSc. Degree, with honours, in electrical engineering from King Saud University, Riyadh, Saudi Arabia, in 2011, and the MSc degree, with distinction, in communication and signal processing from the University of Edinburgh, Edinburgh, United Kingdom, in 2016. He joined King Abdulaziz city for science and technology as an academic researcher in 2011. He is currently a PhD student in digital communications at the University of Edinburgh.

His current research interests include adaptive signal processing, radar waveform design and target classification.