📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Multistatic human micro-Doppler classification with degraded/jammed radar data (2019)

First Author: Fioranelli F

Attributed to: Intelligent RF Sensing for Falls and Health Prediction - INSHEP funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1109/radar.2019.8835618

Publication URI: http://dx.doi.org/10.1109/radar.2019.8835618

Type: Conference/Paper/Proceeding/Abstract