Master Theisis, 30 HP, Signal estimation using NLS

at  Saab Inc

This master thesis explores NLS frequency estimation for radar technology, aiming to solve complex signal processing issues. Would you like to part of a team working on Saab’s Giraffe 1x Radar project, with opportunities to collaborate with various roles within the organization? Keep reading!
Your role
Background
The development of processor technology (e.g. GPU) enables modern radar systems to use advanced signal processing methods. This thesis aims to study if NLS frequency estimation can solve a number of problems where traditional methods are not sufficient. In radar technology, estimation of detected target properties is central. In some dimensions, the estimation is equivalent to estimating one or more tones in noise. In real applications, phase and amplitude modulation of the ideal tone may occur, e.g. due to calibration errors in the system. Some methods, such as NLS estimation, allow the freedom to include a general model in the estimation, which can improve the estimate.
Description of the master thesis
The thesis is based on models of some known effects that distort the ideal signal to be estimated, optimize and analyze a number of different frequency estimation methods to clarify how effective these are in handling the distortions (and the estimate). The concept of effectiveness includes how well the method solves the problem and how computationally heavy it is. Optimization includes selection of model order, selection of initial values, parameterization of the optimization algorithm. The analysis is performed in Matlab on both simulated data and recorded radar video.
The work will be carried out with good supervision from staff both from a technical and user perspective. You will get an insight into product development at Saab and come into contact with several different roles within our organization. You will work with a team working with our Giraffe 1x Radar which is used both in land and seabased applications. You will work in a team of 5-8 engineers working on the development and integration of this system. It will have very practical moments mixed with theoretical.
Your profile
We are looking for a person with a combination of strong technical skills, interest in radar technology and signal processing, and the ability to handle both theoretical and practical aspects of the work. You should also possess good communication skills, as working in a team with different roles is part of the project. Additionally, having a keen interest in product development and the ability to adapt to various tasks within the Saab organisation would be beneficial. The work is suitable for 1-2 civil engineers, i.e. masters. Preferably with an electro background or equivalent.
What you would be a part of
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 22,000 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
2024-11-01
Contact information
Maria Köhler, Manager
maria.kohler@saabgroup.com
+46 31 7948551
Mattias Bucht, Master Thesis Supervisor
mattias.bucht@saabgroup.com
+46 10216071

Please refer the Job description for details