By developing CW waveforms which also carry information, the capability of a bistatic radar system can be extended.
Your role
Background
Bistatic radar detects and localizes targets with a transmitter and receiver in different locations. The receiver determines how long it takes to receive the reflected radar signal and calculates range based on the delay, the speed of light, and the positions of the transmitter and receiver. Bistatic radar has advantages over monostatic radar – the receiver is virtually undetectable and harder to jam, and current stealth techniques are less effective against bistatic radar systems.
The performance of the bistatic radar depends heavily on what waveform or signal modulation the transmitter uses. A continuous signal is beneficial since it can use a lower peak power to be harder to detect, but can reduce performance. Making the waveform noise-like instead of structured and repeating makes it even harder to detect, but can also reduce performance. Furthermore, if multiple transmitters are used at the same time, their waveforms must be sufficiently distinct while not reducing their individual performance too much. Finally, we also want to be able to include information in the waveform, so that the transmitters can add metadata such as their identity and current location if they move around.
Selecting the right waveforms is a game of trade-offs, no waveform is the best in all cases, but having a good objective basis to make the correct trade-off for a certain situation can be the difference between a threat being detected and remaining undetected until it’s too late.
Description of the master thesis
You will explore and develop waveforms or sets of waveforms for bistatic CW radar, and evaluate their radar performance, their ability to be used with multiple transmitters, and their ability to carry information without sacrificing performance.
Besides mathematical performance metrics you can also test waveforms in simulations, and it may be possible to test selected waveforms in real world measurements.
The main question of the thesis is:
- How does the radar performance and information capacity of different CW waveform sets compare, and what metrics best measure this?
Your profile
This Master Thesis is suitable for one motivated math or engineering student with experience in MATLAB or Python, and an interest in signal processing, digital communications, and radar.
Taking or having taken a course in digital communications is strongly recommended.
This position requires that you pass a security vetting based on the current regulations around/of security protection. For positions requiring security clearance additional obligations on citizenship may apply.
What you will be a part of
You are joining a small team focusing on forward looking technology for radio frequency sensing. The team includes both industry veterans and recent graduates and will give you insight into work at Saab.
Behind our innovations stand the people who make them possible. Brave pioneers and curious minds. Everyday heroes and inventive troubleshooters. Those who share deep knowledge and those who explore sky-high. And everyone in between.
Joining us means making an impact together, contributing in our own unique ways. From crafting complex code and building impressive defence and security solutions to simply sharing a coffee with a colleague, every action counts. We encourage you to take on challenges, to create smart inventions and grow in our friendly and tech-savvy workspace. We have a solid mission to keep people and society safe.
Saab is a leading defence and security company with an enduring mission, to help nations keep their people and society safe. Empowered by its 23,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world.
Saab designs, manufactures and maintains advanced systems in aeronautics, weapons, command and control, sensors and underwater systems. Saab is headquartered in Sweden. It has major operations all over the world and is part of the domestic defence capability of several nations. Read more about us here
Last application day
30-11-2024
ADVERTISING PERIOD
10-10-2024 - 30-11-2024
Contact information
Neda Tooloutalaie, Head of Future Technologies
neda.tooloutalaie@saabgroup.com
+46 73-446 0055
Karl-Johan Hällgren, Master Thesis Supervisor
karl-johan.hallgren@saabgroup.com
+46 73-437 4607
David Mårsäter, Master Thesis Supervisor
david.marsater@saabgroup.com
+46 73-437-9417