Multiple People Detection & Localization with Multistatic UWB Radar in Vehicle Cabin
Francesco Fioranelli (TU Delft - Microwave Sensing, Signals & Systems)
Elisabet Rufas (Student TU Delft)
A Yarovoy (TU Delft - Microwave Sensing, Signals & Systems)
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Abstract
The problem of detection and localization of multiple people using a network of Ultra-Wide Band (UWB) radar nodes in the cabin of a vehicle is addressed in this paper. Specifically, an algorithm for decentralized vital signs detection is proposed, based on the analysis of a novel model for radar signatures of vital signs. Additionally, a centralized association processing block is used to fuse the detections from all radars in the network using a dedicated cost-matrix computation. The performance of the proposed processing pipeline is tested experimentally with a multistatic radar network, and a simulation framework is also developed to evaluate the performance in alternative topologies of the radar network beyond the experiments. It is shown that the detection and localization of humans within the car environment is possible with the proposed processing pipeline, with localization Root Mean Square Error.