Multi-target detection in digital radar

Purpose and goal:

The digitalization has changed how a modern radar can be constructed. The interfaces between digital and analog signals has moved closer to the antennas, have higher sample rates and more channels are available. The future challenges are to develop processing algorithms which exploit the extra flexibility.

Recent academic results in estimation are seen as key components in the development of the algorithms for the future radars. The mobility component in this project will provide a direct path to transfer academic knowledge to the industry. Expected results and effects:

The project will contribute to speeding up Saab´s development of effective methods for detecting multiple closely spaced targets. This also contributes to increasing Saab´s competitiveness on the international market. The mobility from academia to industry will provide unique opportunities to gain deeper insights into the industrial challenges that will be important for creating future academic training and research programs as well as giving Saab direct access to the latest academic developments in the field of signal processing and detection.

Approach and implementation:

In this project we will explore the multitarget detection problem in radar settings which are industrially relevant to Saab. The project will be based on three core activates and associated knowledge transfer. Firstly, we aim to build knowledge on how performance in the multi-target setting should be assessed.

Secondly, novel algorithms from the recent academic literature will be evaluated. Finally, a set of candidate algorithms will be implemented in software for a prototype radar system and evaluated on data collected in multi-target scenarios.