Defence of dissertation in the field of Signal Processing Technology, M.Sc. (Tech.) Yongzhe Li
The multiple-input multiple-output (MIMO) radar is a newly emerging technology in radar signal processing, for which many signal processing techniques have been explored during the past years and new techniques are continuing to appear. It out-performs conventional radars in many aspects and achieves multiple superiorities due to transmit waveform and/or beam diversities. Extra degrees of freedom that enable to develop flexible and efficient approaches to solving problems for different applications are introduced in MIMO radar, leading to the performance improve-ments such as better minimum detectable velocity of slow-moving targets, ad-vanced clutter and jammer suppression, superior resolution, additional benefits in radar-communication coexistence, etc.
The flexibilities of MIMO radar, however, are challenged by the need of developing advanced signal processing techniques, especially when harsh constraints are addi-tionally enforced. Moreover, the resulting problems in MIMO radar can grow to a large scale for the cases that require multi-dimensional processing.
This thesis addresses these important needs and provides with a comprehensive overview on relevant MIMO radar research. In particular, it addresses the following topics: i) the potential capability of the conventional and transmit beamspace-based (TB) MIMO radars on clutter and jammer suppression; ii) the theoretical analysis on the TB-based MIMO radar ambiguity function; iii) the developments of spatial and/or temporal signal processing algorithms; iv) the design of unimodular waveforms with good correlation properties, and v) the joint
Opponents: Professor Fulvio Gini, University of Pisa, Italy and Professor Christ D. Richmond, Arizona State University, USA
Supervisor: Professor Sergey A. Vorobyov, Aalto University School of Electrical Engineering, Department of Signal Processing and Acoustics.
Contact information: Yongzhe Li, +358468962128, [email protected]