Localization in LoRa Networks Based on Time Difference of Arrival

Daramouskas, Ioannis; Mitroulias, Dimitrios; Perikos, Isidoros; Paraskevas, Michael; Kapoulas, Vaggelis

doi:10.1007/978-3-030-90528-6_12

Cited by 3 publications

(4 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Section: Related Workmentioning

confidence: 99%

“…Previous research has realized localization attempts via LoRa technology, mostly using the Time Difference of Arrival (TDoA) method [7,15,16], which requires at least three gateways to infer the location of the object. For example, in [16], a number of sets of messages sent via the target sensor were used to calculate the TDoAs of these messages and perform location estimation at the gateway level, the authors assessed the efficiency of the performance of the localization and the results indicated that the localization error was greatly affected by the noise of the received timestamps at the base stations. In [17], a similar procedure was followed to implement a LoRaWAN tracking system that was capable of exploiting transmitted packages to calculate the current position, and using LoRa signals and applying a multilateration algorithm on the timestamps received at the gateways, the results demonstrated that it can be feasible to locate a device in a static spot with an accuracy of around 100 m, though this accuracy is not good enough for indoor scenarios.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Design of a Multi-Standard UWB-LoRa Antenna Structure and Transceiver Board for High-Accuracy and Long-Range Localization Applications

Benouakta,

Nguyen,

Ferrero

et al. 2023

Electronics

View full text Add to dashboard Cite

Long-Range Wide-Area Networks (LoRaWAN) allow the transmission of data via radio link from sensors, which are potentially isolated or difficult to access, to gateways and servers that are connected to cellular networks for data processing, exchange, or relay, with low transmission power. This concept employs Long-Range (LoRa) modulation and has led to the emergence of many applications for the monitoring and tracking of objects. However, due to its characteristic of a low data rate for low-power communication, the transmission of information with LoRa technology is not suitable for the fast real-time monitoring of data. Additionally, due to its narrow bandwidth, an attempt to perform localization through the LoRa modulation technique will result in very limited accuracy because of its inability to resolve multipath problems. Thus, in this paper, we propose a multi-standard Ultra-Wide Bandwidth (UWB) and LoRa end-device that is capable of measuring location with high accuracy using UWB technology and then transmitting the location information through LoRa method to gateways and the Internet of Things Network. The results of measurements in indoor and outdoor scenarios show a UWB localization accuracy that is of sub-meter level, being between 10 and 33 cm, and a UWB range of 124 m in Line-of-Sight (LOS) and 55 m in Non-Line-of-Sight (NLOS) applications, respectively.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Design of a Multi-Standard UWB-LoRa Antenna Structure and Transceiver Board for High-Accuracy and Long-Range Localization Applications

Benouakta,

Nguyen,

Ferrero

et al. 2023

Electronics

View full text Add to dashboard Cite

show abstract

“…Developing new AoA methods is always a challenge for the research community. LPWAN technologies such as the Long-Range (LoRa) can provide a localization solution based on the time difference of arrival (TDoA) and the received signal strength (RSS) [10,11,12,13]. Recently, some research works are trying to mix the RSS, and TDoA techniques with the angle of arrival (AoA) estimation method using the LoRa technology to provide a good localization solution [14,15].…”

Section: Related Workmentioning

confidence: 99%

Measuring accurate Angle of Arrival of weak LoRa signals for Indoor Positionning

Hussein

Baala

Spies

et al. 2022

2022 IEEE 12th International Conference on Indoor Positioning and Indoor Navigation (IPIN)

View full text Add to dashboard Cite

In this paper, we propose an Autocorrelation method for measuring the angle of arrival (AoA) of a weak LoRa signal. A weak LoRa signal has a negative SNR down to -20 dB. The objective is to detect a LoRa signal that operates at low transmission power (TX). Operating at low transmission power (TX) reduces power consumption and extends the battery life of LoRa devices. Besides, the transmission of weak signals strengthens the radio communication protocol, preventing an enemy device from accessing the location coordinates. The detecting algorithm consists of finding Autocorrelation peaks of the LoRa signal. We show that Autocorrelation peaks decrease when the signal is buried in the noise. However, using a large number of Fast Fourier Transform (FFT) will increase the Autocorrelation peaks and the signal-to-noise ratio (SNR). Once the peak of the LoRa signal is detected under the noise, the algorithm will calculate the AoA. All of the proposed algorithms are implemented using a Universal Software Radio Peripheral (USRP), Software Defined Radio (SDR) receiver with the help of GNU Radio software. We, therefore, believe that our Autocorrelation method can detect the LoRa signal accurately and measure the AoA at very low SNR in real-time, being usable for indoor positionning.

show abstract

“…Paper [4] describes two Received Signal Strength Indication (RSSI)based localization algorithms that deal with noisy outdoor environments, using LoRa devices. Paper [5] study the localization using LoRa but in contrast to [4] use Time Difference of Arrival (TDoA) based algorithms noting that grouping of the received LoRa packets can deal with noisy environments. The authors of the article [6] employ IoT in conjunction with an Unmanned Aerial Vehicle (UAV) for SAR missions.…”

Section: Introductionmentioning

confidence: 99%

Long Range Based IoT Search and Rescue System, a Human-Computer Interaction Preliminary Study and Implementation

Bouras,

Gkamas,

Katsampiris Salgado

2022

Comput. Networks Commun.

View full text Add to dashboard Cite

Nowadays, IoT has been introduced in different aspects of our lives giving solutions to several problems, one of which is the Search and Rescue (SAR) operations. People that suffer from dementia or people with disease in the autism spectrum tend to elope from their caretaker’s attention, a fact that can lead to serious problems. Thus, a system that takes into consideration of the multiple requirements is of paramount importance. In this paper, a LoRa based SAR system is proposed in order to help in the localization of people with high risk of going missing. In contrast to most of the related systems, in this research article a different approach has been followed. Instead of focusing on the technology, in our approach a human-centered design has been used, leveraging the knowledge of Human-Computer Interaction (HCI) domain. Thus, the technologies used, are an outcome of the initial study. Finally, the system is evaluated using heuristic evaluation and questionnaires.

show abstract

Localization in LoRa Networks Based on Time Difference of Arrival

Cited by 3 publications

References 17 publications

Design of a Multi-Standard UWB-LoRa Antenna Structure and Transceiver Board for High-Accuracy and Long-Range Localization Applications

Design of a Multi-Standard UWB-LoRa Antenna Structure and Transceiver Board for High-Accuracy and Long-Range Localization Applications

Measuring accurate Angle of Arrival of weak LoRa signals for Indoor Positionning

Long Range Based IoT Search and Rescue System, a Human-Computer Interaction Preliminary Study and Implementation

Contact Info

Product

Resources

About