DESCRIPTION:

Cognitive radar can define the future of radars. It can enable smarter processing of the data and wisely use the available computational power.
One of the ways to implement cognitive radar, is by smart sensing of the scene. Beam scanning allows us to look at a certain direction of the radar at a given time. We can also choose the amount of time we need to spend in each direction. This also brings in multiple challenges, like impact on SNR, velocity measurement, DOA resolution etc.
This project looks into the design requirements of such a radar, by designing the waveforms for scanning, studying the impact of different scanning patterns, selection of beam width vs scanning time and other system parameters to consider.

REQUIREMENTS:

This project requires a self-motivated candidate with a strong background in optimization, statistical signal processing, array signal processing, estimation theory, and some familiarity with radio frequency (RF) and radar concepts. The ideal candidate feels challenged by both theoretical and practical problems. The activities on the project require knowledge of Matlab or Python programming and GIT versioning. Through the project, the candidate will have the opportunity to develop industry-relevant signal processing and engineering skills.

Please refer the Job description for details