Saab is a place where teamwork makes things fly. Literally. Join us and experience our supportive and friendly workplace.
Your role
Background
Commonly used in air traffic control, a primary surveillance radar system detects aircraft targets by transmitting electromagnetic waves which are then being reflected back. The measurement of these reflected waves allows for detection of targets and estimations of their positions. However, the received reflected signals contains no information about the target identity.
To complement a primary surveillance radar and address its limitations, a secondary surveillance radar is used. Compared to a primary radar, a secondary radar operates by transmit interrogations. A target that receives the interrogation can then transmit a coded reply containing its identity and other relevant information. One common application of these systems is IFF (Identification Friend or Foe). Developed during World War II to prevent friendly fire incidents, this technology is today widely used in both civilian and military applications.
As air traffic continues to grow, it becomes increasingly important to accurately and efficiently estimate the position of a target, corresponding to the direction of arrival (DOA) of the received signal. To this end, signal processing techniques can be used to obtain DOA estimations in different noise and interference scenarios. To enhance performance, different beamforming techniques can also be applied, where the receiving antenna in the radar is used in such a way that the reception of signals is enhanced in some directions and reduced in others.
Project description
The main objective of the thesis project is to analyze and compare different DOA estimation algorithms for a secondary surveillance radar system with digital beamforming. More specifically, this includes an evaluation of the accuracy and performance of algorithms utilizing the signal subspace, the vector space spanned by the incoming signals. Examples of such algorithms are ESPRIT and MUSIC. Their performance can also be compared to other methods, such as maximum likelihood estimations. The simulations shall be performed for different intensities and distributions of signals in the air.
Other areas that could be explored include studies on adaptive beamforming algorithms as well as analyzing ways of handling phase and amplitude imperfections in the system. Moreover, an evaluation of the performance with regards to the transmitted interrogations could be performed.
Your profile
The work is suitable for students in the final phase of their master’s education in Engineering Physics, Engineering Mathematics, Electrical Engineering, or similar, with an interest for signal processing and mathematical modelling. The project requires programming skills in MATLAB or Python. Courses in signal processing and statistical analysis are meritorious.
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 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 defense 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 defense 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 defense capability of several nations. Read more about us here.
Kindly observe that this is an ongoing recruitment process and that the position might be filled before the closing date of the advertisement.
Last application day
03-11-2024
Advertising period
13-09-2024 - 30-11-2024
Contact information
Erik Rilby, Manager
073- 734 18 63 87
erik.rilby@saabgroup.com