Chen, Q;
Tan, B;
Woodbridge, K;
Chetty, K;
(2018)
Doppler based detection of multiple targets in passive WiFi radar using undetermined blind source separation.
In:
Proceedings of the International Conference on Radar 2018.
International Conference on Radar 2018: Brisbane, Australia.
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Abstract
Passive approaches for detecting and localizing people in wireless environments have attracted significant attention because of its diverse application in healthcare, security and robotics in recent years. However, within indoor environments multiple people moving in close proximity to each other often impedes the utility of such approaches. In this paper we present a new method for identifying multiple human targets in Wi-Fi passive radar systems using only a single receive channel to detect Doppler returns. The technique is based on tree-structure sparse underdetermined blind source separation and utilizes proximal alternating methods in a convex optimization field. Firstly, we show proof-of-principle simulation results for two targets moving within a typical indoor scenario and compare the results with those from the well-known independent component analysis (ICA). Secondly, we validate the simulation outputs using real-world experimental data. The results demonstrate the effectiveness of the proposed technique for device-free detection of multiple targets in the indoor wireless landscape.
| Type: | Proceedings paper |
|---|---|
| Title: | Doppler based detection of multiple targets in passive WiFi radar using undetermined blind source separation |
| Event: | International Conference on Radar 2018 |
| Location: | Brisbane, Australia |
| Dates: | 27 August 2018 - 30 August 2018 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://radar2018.org/ |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Passive Wi-Fi radar,, Multiple target detection, Undetermined Blind Source Separation, proximal alternating Linearized minimization |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Security and Crime Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10051153 |
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