Robust ultrasound-based room-level localization system using COTS components

Hammoud, Abbass; Deriaz, Michel; Konstantas, Dimitri

doi:10.1109/upinlbs.2016.7809975

Cited by 18 publications

(9 citation statements)

References 20 publications

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“…The previous work more closely related to the one presented here is described in [ 43 ]. Here, the authors propose the use of a mobile phone to identify rooms by detecting chirp-encoded ultrasonic signals.…”

Section: Related Workmentioning

confidence: 99%

Noise-Resilient Acoustic Low Energy Beacon for Proximity-Based Indoor Positioning Systems

Aguilera

Aranda

Parralejo

et al. 2021

Sensors

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Proximity-Based Indoor Positioning Systems (PIPSs) are a simple to install alternative in large facilities. Besides, these systems have a reduced computational cost on the mobile device of those users who do not continuously demand a high location accuracy. This work presents the design of an Acoustic Low Energy (ALE) beacon based on the emission of inaudible Linear Frequency Modulated (LFM) signals. This coding scheme provides high robustness to in-band noise, thus ensuring a reliable detection of the beacon at a practical range, after pulse compression. A series of experimental tests have been carried out with nine different Android devices to study the system performance. These tests have shown that the ALE beacon can be detected at one meter distance with signal-to-noise ratios as low as −12 dB. The tests have also demonstrated a detection rate above 80% for reception angles up to 50∘ with respect to the beacon’s acoustic axis at the same distance. Finally, a study of the ALE beacon energy consumption has been conducted demonstrating comparable power consumption to commercial Bluetooth Low Energy (BLE) beacons. Besides, the ALE beacon search can save up to 9% more battery of the Android devices than the BLE beacon scanning.

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Section: Related Workmentioning

confidence: 99%

Noise-Resilient Acoustic Low Energy Beacon for Proximity-Based Indoor Positioning Systems

Aguilera

Aranda

Parralejo

et al. 2021

Sensors

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show abstract

“…Autocorrelation is used to perform fast distance calculations using small data sets, as described in [18,42], and exploited in [19,20]. A linear chirp [21][22][23] is used as audio broadcast signal for two reasons.…”

Section: Pulse Compressionmentioning

confidence: 99%

High precision hybrid RF and ultrasonic chirp-based ranging for low-power IoT nodes

Cox

Perre

Wielandt

et al. 2020

J Wireless Com Network

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Hybrid acoustic-RF systems offer excellent ranging accuracy, yet they typically come at a power consumption that is too high to meet the energy constraints of mobile IoT nodes. We combine pulse compression and synchronized wake-ups to achieve a ranging solution that limits the active time of the nodes to 1 ms. Hence, an ultra low-power consumption of 9.015 µW for a single measurement is achieved. The operation time is estimated on 8.5 years on a CR2032 coin cell battery at a 1 Hz update rate, which is over 250 times larger than state-of-the-art RF-based positioning systems. Measurements based on a proof-of-concept hardware platform show median distance error values below 10 cm. Both simulations and measurements demonstrate that the accuracy is reduced at low signal-to-noise ratios and when reflections occur. We introduce three methods that enhance the distance measurements at a low extra processing power cost. Hence, we validate in realistic environments that the centimeter accuracy can be obtained within the energy budget of mobile devices and IoT nodes. The proposed hybrid signal ranging system can be extended to perform accurate, low-power indoor positioning.

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“…Positioning System) são soluções de localização e rastreamento de pessoas e objetos propostas para substituírem o GPS em ambientes fechados [1]. Diferente do GPS, os IPSs utilizam transmissores locais, comumente chamado de beacons, e abordam diferentes tipos de sinais, tais como sinal sonoro [2] magnético [3], óptico [4] e de ondas de rádio [5], e diferentes tipos de medições do sinal recebido, tais como potência do sinal, tempo e ângulo de chegada. Além dessas diferenças, alguns IPSs também são capazes de determinar a orientação e pose do usuário [6].…”

Section: Introdução Istemas De Posicionamento Local (Ips Do Inglêunclassified

“…Os IPSs podem ser de arquitetura dedicada e não-dedicada. Os de arquitetura dedicada utilizam transmissores e receptores próprios, tais como os IPSs baseados em ultrassom [2] e UWB (Ultrawideband) [8]. Estes possuem as vantagens de serem mais robustos e precisos, porém possuem custo mais elevado devido à compra e manutenção desses dispositivos.…”

Section: Introdução Istemas De Posicionamento Local (Ips Do Inglêunclassified

Indoor Localization Algorithm based on Fingerprint Using a Single Fifth Generation Wi-Fi Access Point

Paiva

Freitas

Guerreiro

et al. 2018

IEEE Latin Am. Trans.

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Over recent years, wireless indoor positioning systems (WIPS) have attracted considerable research interest. However, high-performance WIPS proposed in the literature requires that the building have at least three access points (APs). This paper proposes an WIPS using a single fifth-generation (5G) Wi-Fi access point. The proposed method uses beam fingerprints and classification models based on KNN (K-nearest neighbor) and Bayes rule. The beam fingerprint is composed of RSS (Received Signal Strength) samples, collected in some 2D locations of the indoor environment for each beam codebook in the off-line phase. In the online phase, RSS samples of the best beams are collected by user equipment (UE) during the beamtracking process, which are then classified based on beam fingerprints into predefined coordinates. Numerical simulations shown that using the best beam samples, it is possible to locate the stationary user's mobile device with average error less than 2.5 m.

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Robust ultrasound-based room-level localization system using COTS components

Cited by 18 publications

References 20 publications

Noise-Resilient Acoustic Low Energy Beacon for Proximity-Based Indoor Positioning Systems

Noise-Resilient Acoustic Low Energy Beacon for Proximity-Based Indoor Positioning Systems

High precision hybrid RF and ultrasonic chirp-based ranging for low-power IoT nodes

Indoor Localization Algorithm based on Fingerprint Using a Single Fifth Generation Wi-Fi Access Point

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