Application of a Low Frequency, Low Power Radio Frequency Positioning System for Real Time Indoor Positioning

Mohaghegh, Pooneh; Pravica, Denis; Botero-Valencia, Juan S.; Boegli, Alexis; Perriard, Yves

doi:10.23919/icems50442.2020.9291201

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…Since our work focused on the LF range, we were able to eliminate certain effects such as noise, RF interference, and dependence on the envelope detector. Furthermore, our findings can be applied to non-RF designs, as demonstrated in [26,27]. These WuRx designs utilize acoustic and optical transmission for the WuPt.…”

Section: Discussionmentioning

confidence: 85%

An Improved Wake-Up Receiver Based on the Optimization of Low-Frequency Pattern Matchers

Fromm,

Kanoun,

Derbel

2023

Sensors

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Wake-up receivers are gaining importance in power-aware wireless sensor networks, as they significantly reduce power consumption during RF reception, enabling asynchronous communication with low latency. However, the performance of wake-up receivers still lags behind that of off-the-shelf RF transceivers. There is a growing demand for higher sensitivity, enhanced reliability, and lower latency while maintaining the lowest power consumption. In this article, our goal is to advance the performance of wake-up receivers based on off-the-shelf components and low-frequency pattern matchers. Through a systematic investigation, we proposed multiple improvements aimed at enhancing wake-up receiver performance and reliability. We introduced an improved passive envelope detector and realized a wake-up receiver for the 868 MHz band, which achieves a power consumption of 5.71 μW and latency of 9.02 ms. Our proposed wake-up receiver is capable of detecting signals down to an average power level of −61.6 dBm. These achievements represent significant advancements compared to the existing state of research on wake-up receivers based on low-frequency pattern matchers. Recent articles have not been able to attain such improved values in signal detection, power consumption, and latency.

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Section: Discussionmentioning

confidence: 85%

An Improved Wake-Up Receiver Based on the Optimization of Low-Frequency Pattern Matchers

Fromm,

Kanoun,

Derbel

2023

Sensors

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“…In (Ali, 2019), Ali et al built the Wi-Fi-based indoor localization system using MQTT for sending measured data to the server. Then, (Mekki, 2019) and (Mohaghegh, 2020) reported Bluetooth-based systems using MQTT.…”

Section: Message-queueing Telemetry Transport (Mqtt)mentioning

confidence: 99%

A Fingerprint-Based Indoor Localization System Using IEEE 802.15.4 for Staying Room Detection

Puspitaningayu

Funabiki

Huo

et al. 2022

International Journal of Mobile Computing and Multimedia Communications

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Nowadays, indoor localization systems using IEEE 802.11 have been actively explored for location-based services, since GPS cannot identify floors or rooms in buildings. However, the user-side device is usually large and consumes high energy. In this paper, the authors propose a fingerprint-based indoor localization system using IEEE 802.15.4 that allows the use of a small device with a long-life battery, named FILS15.4. A user carries a small transmitter whose signal is received by multiple receivers simultaneously. The received signal strengths are compared with the fingerprints to find the current location. To address signal fluctuations caused by the low-power narrow-band signal, FILS15.4 limits one room as the localization unit, prepares plural fingerprints for each room, and allocates a sufficient number of receivers in the field. For evaluations, extensive experiments were conducted at #2 Engineering Building in Okayama University and confirmed high detection accuracy with sufficient numbers of receivers and fingerprints.

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Underground Passive LF RFID Localization Method Based on Magnetic Field Model of Reader Coil Antenna

Zhu,

Chen,

Tian

et al. 2024

IEEE Trans. Instrum. Meas.

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Application of a Low Frequency, Low Power Radio Frequency Positioning System for Real Time Indoor Positioning

Cited by 4 publications

References 9 publications

An Improved Wake-Up Receiver Based on the Optimization of Low-Frequency Pattern Matchers

An Improved Wake-Up Receiver Based on the Optimization of Low-Frequency Pattern Matchers

A Fingerprint-Based Indoor Localization System Using IEEE 802.15.4 for Staying Room Detection

Underground Passive LF RFID Localization Method Based on Magnetic Field Model of Reader Coil Antenna

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