Project description:
A radar transmits electromagnetic waves in very short pulses and measures the returned power, time lag and frequency of em waves backscattered from targets as the pulse travels away from the radar. From the properties of the backscattered signal, one may obtain information such as location, velocity and size of the radar target. One of the advanced radar antennas in use today is phased array, which consists of several radiating elements and phase shifters. The radiating beam pattern of a phased array is highly directional and allows for agile scanning of target scene. The spatial resolution is determined by the aperture of the array which determines the number of elements needed to prevent spatial aliasing. The more the number of elements, better would be spatial resolution.
The goal of this project is to break the traditional link between the spatial resolution and the number of elements. We will use time division approach in order to radiate on the targets using a sparse sub-array for each transmission. By fusing all the received data and integrating a new processing algorithm, we would try to achieve a better effective spatial resolution with reduced number of elements.
Supervisor: Kumar Vijay Mishra (mishra@ee.technion.ac.il) and David Cohen (davidcohenys@gmail.com)
Required background: Signal and systems, Mavlas , Random signals (optional)
Environment: Matlab
In Collaboration with: Mafat – המינהל למחקר, פיתוח אמצעי לחימה ותשתית טכנולוגית