DC1: CSI-based obstacle/human detection and tracking at mmWave

Task: CSI-based obstacle/human detection and tracking at mmWave (WP1)

Host institution: IMDEA

Country: Spain

Supervisors: Prof. J. Widmer [IMDEA Networks]

Co-supervisors/mentors: Dr. Jesus O. Lacruz [IMDEA Networks], Dr. A. Lutu [Telefonica]

Objectives: To investigate methods for accurate angle, range and (micro-)Doppler estimations from CSI in presence of hardware imperfection; To design practical solutions for cooperative sensing with multiple access points and with several systems in a denser mmWave network; To evaluate the solutions on off-the-shelf devices such as the COST 802.11 ad/ay testbed and Xilinx RF-SOC testbed (Obj1a).

Expected Results: Lightweight methods to obtain angle and range information with high accuracy from CSI on hardware with imperfection. Fast algorithms to perform cooperative sensing with multiple access points. Experimental SDR-based analysis of the algorithms.

PhD enrolment: Doctoral School of TU Darmstadt

Planned secondments:

  • Telefonica (3 months, M16-M18): Impact of hardware imperfection on CSI measurement, with D. Perino (KPI: joint conference paper)
  • TUDa (3 months, M28-M30): RIS-assisted multi-object tracking in indoor scenarios, with A. Asadi (KPI: joint journal paper)

Candidate profile: Telecommunication, Electrical Engineering

Desirable skills/interests:Signal processing, array processing, wireless communications, wireless networking, optimization, hands-on experience with hardware and systems (the applicant should be proficient in at least one or two of the skills)