Opportunistic doppler-only indoor localization via passive radar

Wenda Li, Bo Tan, Robert Piechocki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Indoor localization is a vital ingredient for many e-Healthcare and Ambient Assisted Living (AAL) applications. However, accurate, low power and user acceptable solutions remain elusive. In this paper, we present a novel opportunistic system which estimates the localization information based only on the Doppler information from the user. The Doppler information is collected using the passive radar technique that deploys the RF energy transfer signal which originally intended only to deliver energy to home IoT devices. A low complexity Extended Kalman Filter (EKF) is also proposed to predict and track the user's location. A real-time system has been built based on the software defined radio (SDR) platform to verify the proposed methodology. Experimental results indicate that the proposed concepts can be used for indoor localization with a high degree of accuracy.
Original languageEnglish
Title of host publicationProceedings of IEEE 16th International Conference on Dependable, Autonomic and Secure Computing
PublisherIEEE
Pages467-473
Number of pages7
ISBN (Print)9781538675182
DOIs
Publication statusPublished - Aug 2018
EventIEEE 16th International Conference on Dependable, Autonomic and Secure Computing - Athens, Greece
Duration: 12 Aug 201815 Aug 2018

Conference

ConferenceIEEE 16th International Conference on Dependable, Autonomic and Secure Computing
Abbreviated titleDASC-PICom-DataCom-CyberSciTec 2018
Country/TerritoryGreece
CityAthens
Period12/08/1815/08/18

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