Location Estimation Using Space-Time Signal Processing in RFID Wireless Sensor Networks

We consider real-time locating systems (RTLS) consisting of radio frequency identification (RFID) tags and multiantenna readers to propose a novel location estimation algorithm based on the concept of space-time signature matching for multipath environments. In contrast to previous fingerprint-based...

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Main Author: Chang-Heon Oh
Format: Article
Language:English
Published: Wiley 2013-11-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2013/634531
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author Chang-Heon Oh
author_facet Chang-Heon Oh
author_sort Chang-Heon Oh
collection DOAJ
description We consider real-time locating systems (RTLS) consisting of radio frequency identification (RFID) tags and multiantenna readers to propose a novel location estimation algorithm based on the concept of space-time signature matching for multipath environments. In contrast to previous fingerprint-based approaches that rely on received signal strength (RSS) information only, the proposed algorithm uses angle, delay, and RSS information from the received signal to form a signature, which in turn is utilized for location estimation. We evaluate the performance of the proposed algorithm in terms of the average error probability. Simulations and analytic results confirm the effectiveness of the proposed algorithm for location estimation even in non-line-of-sight (NLOS) environments.
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publishDate 2013-11-01
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series International Journal of Distributed Sensor Networks
spelling doaj-art-52f67f01cbc74214947eb9788f6926a42025-08-20T03:18:06ZengWileyInternational Journal of Distributed Sensor Networks1550-14772013-11-01910.1155/2013/634531Location Estimation Using Space-Time Signal Processing in RFID Wireless Sensor NetworksChang-Heon OhWe consider real-time locating systems (RTLS) consisting of radio frequency identification (RFID) tags and multiantenna readers to propose a novel location estimation algorithm based on the concept of space-time signature matching for multipath environments. In contrast to previous fingerprint-based approaches that rely on received signal strength (RSS) information only, the proposed algorithm uses angle, delay, and RSS information from the received signal to form a signature, which in turn is utilized for location estimation. We evaluate the performance of the proposed algorithm in terms of the average error probability. Simulations and analytic results confirm the effectiveness of the proposed algorithm for location estimation even in non-line-of-sight (NLOS) environments.https://doi.org/10.1155/2013/634531
spellingShingle Chang-Heon Oh
Location Estimation Using Space-Time Signal Processing in RFID Wireless Sensor Networks
International Journal of Distributed Sensor Networks
title Location Estimation Using Space-Time Signal Processing in RFID Wireless Sensor Networks
title_full Location Estimation Using Space-Time Signal Processing in RFID Wireless Sensor Networks
title_fullStr Location Estimation Using Space-Time Signal Processing in RFID Wireless Sensor Networks
title_full_unstemmed Location Estimation Using Space-Time Signal Processing in RFID Wireless Sensor Networks
title_short Location Estimation Using Space-Time Signal Processing in RFID Wireless Sensor Networks
title_sort location estimation using space time signal processing in rfid wireless sensor networks
url https://doi.org/10.1155/2013/634531
work_keys_str_mv AT changheonoh locationestimationusingspacetimesignalprocessinginrfidwirelesssensornetworks