@inproceedings{f45a20f473a444bfac1c923a9a2816f3,
title = "Indoor localization based on a single-tone SIMO-structured Doppler radar system",
abstract = "Indoor localization is a hot topic in microwave engineering. However, short-range localization of passive moving objects in indoor environments remains a technical challenge. In this paper, we propose a single-frequency continuous-wave Doppler radar sensor implemented in a form of a single-input multiple-output (SIMO) architecture with a redundant receiving channel. It only uses the Doppler information in the localization. In this case, this localization is naturally immune to stationary clutters such as walls and furniture, making it only responsive to moving objects. The obtained results imply the potential for the localization and tracking of moving objects in indoor environments with strong stationary scatters.",
keywords = "Doppler radar sensor, Indoor localization, Motion detection, SIMO",
author = "Anjie Zhu and Tenglong Fan and Zhitao Gu and Qinyi Lv and Changzhi Li and Lixin Ran",
note = "Funding Information: This work was supported by the NSFC 61771421 and 61528104. Publisher Copyright: {\textcopyright} 2018 IEEE.; null ; Conference date: 14-01-2018 Through 17-01-2018",
year = "2018",
month = feb,
day = "28",
doi = "10.1109/RWS.2018.8304931",
language = "English",
series = "IEEE Radio and Wireless Symposium, RWS",
publisher = "IEEE Computer Society",
pages = "7--9",
booktitle = "RWS 2018 - Proceedings",
}