Streaming Radar Processing

Radar systems are increasingly used in the field of driver assistance systems and autonomous driving. The application areas are very different and therefore also the requirements to the radars. Typically, different optimized radar sensors are used due to different requirements and tasks (parking assistant, ACC, ...). Since these radars are designed for a specific purpose, they are not very flexible and cannot be used for others. 

New radar concepts such as OFDM offer a high degree of flexiblity concerning signal generation and evaluation. OFDM radars allow to change signal parameters during operation. Therefore, they are able to adapt to different situations in traffic.

In this work, the existing signal processing chain should be extended by an adaptive signal reconstruction and evaluation. The aim is to use knowledge from previous evaluations to improve and speed up the next evaluation. Existing concepts from literature should be investigated, implemented and adapted to the existing signal processing chain. The concepts should then be validated and compared using simulations and radar measurements. 


Literature study and research, algorithms implementation and simulation in Matlab, verification using measurements


good knowledge of signal processing and experience with Matlab advantageous


Start: as of now
The focus of the work can be elaborated according to one's own preference