Indoor localization using FM radio signals: A fingerprinting approach

Moghtadaiee, Vahideh; Dempster, Andrew G.; Lim, Samsung

doi:10.1109/ipin.2011.6071932

Cited by 94 publications

(45 citation statements)

References 9 publications

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“…The massive infrastructure present in these spaces has contributed to the use of this technology for positioning and navigation purposes. Fingerprinting is one of the most common approaches to benefit from the increasing usage of these devices [9]. In fingerprinting, the received signal strengths at a certain point are matched to the ones present in a geo-coded database.…”

Section: Wireless Local Area Network (Wlan)mentioning

confidence: 99%

Indoor positioning technology assessment using analytic hierarchy process for pedestrian navigation services

Basiri

Peltola

Silva

et al. 2015

2015 International Conference on Location and GNSS (ICL-GNSS)

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TF), Ultra Sound (US) and High Sensitivity GNSS (HSGNSS).This paper evaluates the practicality and fitness-to-the-purpose of pedestrian navigation for these stand-alone positioning technologies to identify the best one for the purpose of indoor pedestrian navigation. In this regard, the most important criteria defining a suitable positioning service for pedestrian navigation are identified and prioritised. They include accuracy, availability, cost, power consumption and privacy. Each technology is evaluated according to each criterion using Analytic Hierarchy Process (AHP) and finally the combination of all weighted criteria and technologies are processed to identify the most suitable solution.

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Section: Wireless Local Area Network (Wlan)mentioning

confidence: 99%

Indoor positioning technology assessment using analytic hierarchy process for pedestrian navigation services

Basiri

Peltola

Silva

et al. 2015

2015 International Conference on Location and GNSS (ICL-GNSS)

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“…Another typical approach that has been widely investigated for robot localization is the fingerprint method [37,38,42,49]. It also requires a calibration phase where a set of RSS measurements are observed at various location and a database known as a "radio map" is built based on these measurements and the ground-truth locations [50].…”

Section: State-of-art Techniques For Robot Localizationmentioning

confidence: 99%

Fundamental Limits of Self-localization for Cooperative Robotic Platforms Using Signals of Opportunity

Leng

Tay

2015

Cooperative Robots and Sensor Networks 2015

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A fundamental problem in robotic applications is the localization of the robots. We consider the problem of global self-localization for a robotic platform with autonomous robots using signals of opportunity (SOOP). We first give a brief overview of the state-of-the-art in robotic localization using SOOP, and then propose a scheme that requires minimal prior environmental information, no pre-configuration, and only loose synchronization between the robots. To further analyze the potential for the use of SOOP in robotic localization and to investigate the effect of clock asynchronism, we derive an analytical expression for the equivalent Fisher information matrix of the Cramér-Rao lower bound (CRLB). The derivation is based on the received signal waveform, and allows us to analyze the contributions of various factors to the localization accuracy. The CRLB provides a valuable guideline for the design of a robotic platform in which a desired level of localization accuracy is to be achieved. We also analyze the distortions in the time difference of arrival and frequency difference of arrival measurements caused by different clock offsets and skews at the robots. We propose a robust algorithm to estimate robot location and velocity, which mitigates the clock biases. Simulation results suggest that our proposed algorithm approaches the CRLB when clock skews have small standard deviations.

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“…Up to now, a large number of systems have been proposed to achieve the indoor positioning [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20]. The systems based on the propagation modeling are susceptible to the environmental change and the interference from other networks [21].…”

Section: Introductionmentioning

confidence: 99%

WIPP: Wi-Fi Compass for Indoor Passive Positioning with Decimeter Accuracy

et al. 2016

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Abstract:In recent decades, the proliferation of smart phones, tablets, and wireless networks has fostered a growing interest in indoor passive positioning. The Wi-Fi-based passive positioning systems can provide Location-Based Services (LBSs) to the third party such as market and security departments. Most of the existing systems are based on the Receive Signal Strength Indication (RSSI) information, which are generally time-consuming and susceptible to environmental change. To overcome this problem, we propose the Wi-Fi compass for indoor passive positioning system (WIPP), an Angle of Arrival (AOA) based passive positioning system using the existing commodity Wi-Fi network. In this paper, we first propose a new algorithm for the joint estimation of AOA and Time of Arrival (TOA) measurements based on the fine-grained Channel State Information (CSI), which is collected by an off-the-shelf Wi-Fi device equipped with only three antennas. Second, we use the affinity propagation clustering algorithm to identify the direct signal path from the target to each Wi-Fi Access Point (AP). Finally, we deploy the WIPP in an actual indoor environment to conduct the performance comparison with the well-known radio-frequency (RF) based system for locating and tracking users inside buildings (RADAR), as well as the conventional passive positioning system using the AOA solely. The experimental results show that the WIPP is able to achieve the median positioning error 0.7 m, which is much lower than the ones by the RADAR system and the conventional system using the AOA solely.

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Indoor localization using FM radio signals: A fingerprinting approach

Cited by 94 publications

References 9 publications

Indoor positioning technology assessment using analytic hierarchy process for pedestrian navigation services

Indoor positioning technology assessment using analytic hierarchy process for pedestrian navigation services

Fundamental Limits of Self-localization for Cooperative Robotic Platforms Using Signals of Opportunity

WIPP: Wi-Fi Compass for Indoor Passive Positioning with Decimeter Accuracy

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