Start Date
Immediate
Expiry Date
01 May, 25
Salary
2872.0
Posted On
01 Feb, 25
Experience
5 year(s) or above
Remote Job
No
Telecommute
No
Sponsor Visa
No
Skills
Matlab, Python, Optimization, Communication Systems, Signal Processing, Physical Layer, Programming Languages
Industry
Electrical/Electronic Manufacturing
JOB DESCRIPTION
Constantly evolving advanced driver assistance systems (ADAS) demand radar sensors with classification capabilities of detected objects. However a drastic increase of number of automotive radars on the street creates their mutual interference.
The goal of this project is to develop new class of sensing waveforms to be used by MIMO radars operating in a very dense electromagnetic spectrum. These waveforms should be separable in a low complexity digital receiver, which should be developed as well. The ambiguity function of the waveform should have low level of sidelobes in the range, Doppler and angular domains. The digital code and the carrier should be adjustable to the properties of the electromagnetic spectrum at the moment of transmission. The intelligent aspect of the waveform will enable the radar to adapt its parameters and processing to the changes in objects’ properties and environment (both clutter and interference). New sensing signals should be realizable within the analogue bandwidth of available ADC circuits. The performance of the waveforms and the digital receiver should be verified experimentally. Dedicated measurement set-up has to be developed as a part of PhD duties.
The intended scientific breakthrough is to derive, implement, and validate a new type of sensing signals which benefit from modern digital signal processing technology.
JOB REQUIREMENTS