Master’s thesis in radar signal processing and reconfigurable hardware - Radar Reticence

Radar Reticence is a start-up that develops next-generation radar technology for safer and more autonomous vehicles. Built on deep

Swedish radar expertise and research from Halmstad University, our patented software-based solution makes automotive radar more

robust against interference – one of the fastest-growing challenges in advanced driver assistance and autonomous mobility.

We are now entering an exciting growth phase: moving from advanced research and validated testing toward chip integration,

customer proof-of-concepts and commercial deployment with leading actors in the mobility and radar ecosystem. In 2026, Radar

Reticence secured long-term financing through a new investment round and was awarded EIC Accelerator funding from the European

Union.

The project aims to develop and implement the signal processing required to enable Doppler Division Multiplexing (DDM) in a MIMO

radar system using a radio-frequency system-on-chip (RFSoC) platform. The implementation will include the generation and

processing of long radar chirps with controlled phase variations, allowing signals transmitted simultaneously from multiple

antennas to be separated in the Doppler domain.

The project will also include the development of a solution for upconverting the signals to automotive radar frequencies. The

complete implementation will be verified and experimentally evaluated using a physical test setup. The objective is to demonstrate

DDM operation on the RFSoC platform and assess the performance and limitations of the implemented signal-processing architecture.

Master of Science student with knowledge in digital signal processing, as well as experience of FPGA or RFSoC development and of

MATLAB or Python for algorithm work. Previous radar experience is a plus. The work can be done both as an individual project or as

a joint project with two students.