Master Thesis, 30 HP Investigating AI-Based Target Detection and Characterization in Raw IQ Data for Bistatic Radar

Are you a student eager to apply your theoretical knowledge and fresh perspectives to real-world challenges At Saab we believe that innovation thrives on new ideas and your master thesis project could be the spark that ignites our next technological breakthrough.

Your role

We recognize the immense value that students bring to our company. Your academic rigor combined with your enthusiasm for cutting-edge technology allows you to approach problems with a unique and insightful lens. At Saab youll have the opportunity to collaborate with experienced engineers and specialists gaining invaluable practical experience while making a tangible contribution to our growth and development.

Background

In modern radar systems detecting and characterising targets quickly and accurately is essential for maintaining situational awareness and tactical advantage. Traditional radar processing chains rely on extensive preprocessing of the incoming I/Q data; each processing step adds latency and introduces its own sources of noise reducing overall system efficiency. As lowobservable threats such as small drones become increasingly common the need to improve detection sensitivity has become more urgent.

These challenges have created demand for innovative approaches that use artificialintelligence techniques to streamline radar signal processing. Recent advancements in artificial intelligence now provide an opportunity to explore whether AI models can detect radar targets and estimate their parameters (e.g. angle speed and distance) directly from raw I/Q data. This can potentially reduce latency improve sensitivity and overall accuracy capabilities that are vital in defence applications where response time is critical.

Thesis Description

The thesis will investigate the potential of AI-based algorithms for detection and characterization of targets directly from raw I/Q data in bistatic radar systems. Successful outcomes could delivermore sensitive real-time target detection in complex high-noise environments.

The project will involve:

• reviewing stateoftheart AI methods for radar target detection and characterisation
• designing and implementing a model tailored to interpret raw I/Q data with minimal preprocessing
• training the model on diverse datasets to recognize various target signatures.
• evaluating the models performance in terms of inference speed and accuracy in comparison to conventional methods
• testing the models ability to generalise across different bistatic configurations and noise levels.

This thesis offers the opportunity to contribute to cutting-edge technology in electronic warfare and defence systems.

Your profile

This Master Thesis is suitable for a motivated student with interest in machine learning signal processing and physics. Ideal candidates should possess a solid foundation in signal processing proficiency in programming languages such as Python or MATLAB and experience with deep-learning frameworks like PyTorch.

You are at the end of yourMasters inComputer Science Electrical Engineering or a related field and are about to embark on your30 HPthesis project. Specific requirements include completed coursework in deep learning and signal processing as well as practical experience with deep learning model development.

We provide the support and guidance you need to translate your theoretical knowledge into practical solutions. Join us and become a driving force behind Saabs technological advancements!

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.

Kindly observe that this is an ongoing recruitment process and that the position might be filled before the closing date of the advertisement.

What you will be a part of

Explore a wealth of possibilities. Take on challenges create smart inventions and grow beyond. This is a place for curious minds brave pioneers and everyone in between. Together we achieve the extraordinary each bringing our unique perspectives. Your part matters.

Saab is a leading defence and security company with an enduring mission to help nations keep their people and society safe. Empowered by its 26100 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 ushere

Last application day

Please dont hesitate applicants will be selected continuously

Contact information

Thomas Lindgren Program Manager

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Erik Warberg Master Thesis Supervisor

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