Beacon placement for range-based indoor localization

Rajagopal, Niranjini; Chayapathy, Sindhura; Sinopoli, Bruno; Rowe, Anthony

doi:10.1109/ipin.2016.7743626

Cited by 68 publications

(33 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…GDOP has three main drawbacks when utilized as a metric for assessing indoor accuracy. First, Some circumstances cause the standard GDOP metric to expand towards infinity that makes it difficult to normalize over multiple competing configurations . Second, for a terrestrial system, if the location and number of base stations in the desired coverage area are not neatly planned, the GDOP effect can become the dominant factor in limiting the performance of a system .…”

Section: Resultsmentioning

confidence: 99%

Anchor selection for UWB indoor positioning

Albaidhani

Morell

Vicario

2019

Trans Emerging Tel Tech

View full text Add to dashboard Cite

On the positioning accuracy, the geometric distribution of anchor nodes in wireless sensor networks has notable impacts. To select the optimum node combination, conventional methods that depend on geometric dilution of precision demand to spend time on calculating every possible combination of nodes. In military urban and emergency response operations, the time is a crucial issue, and a precise positioning system with a clear indoor covering is a highly prerequisite tool to enhance the safety. It should be seamless, low, frugal, power efficacious, low cost, and supply less meter‐level accuracy. In this paper, the main goal is to reduce the anchors installation time and to obtain a precise localization system. To obtain this goal, a novel algorithm to build an accurate indoor positioning system is created using a mean square error (MSE) of an estimated position of a mobile station (MS) located by different groups of installed anchor nodes online using least square (LS) method then selecting the group having less MSE value (anchor selection method) to relocate the MS using a weighted LS method. The results were highly acceptable for indoor localization because the module attained an MSE localization accuracy in a hard non–line of sight environment below 0.5 m2 also the time of installing the anchor nodes will be reduced. This paper includes the description of the algorithm and the results of the conducted experiments.

show abstract

Section: Resultsmentioning

confidence: 99%

Anchor selection for UWB indoor positioning

Albaidhani

Morell

Vicario

2019

Trans Emerging Tel Tech

View full text Add to dashboard Cite

show abstract

“…Rajagopal et al [14] proposed a toolchain to optimize the number of beacons (APs) while keeping a sufficient signal coverage over the indoor plan. The metrics used to compare different configurations were an enhanced Geometric Dilution of Precision (GDOP) and the cumulative distribution function of the localization error.…”

Section: Related Workmentioning

confidence: 99%

A Probabilistic Approach for Optimal Design of Indoor Positioning Systems

Pinto¹,

Oliveira²,

Souto³

2020

Preprint

View full text Add to dashboard Cite

Indoor Positioning Systems (IPSs) are designed to provide solutions for location-based services. Wireless local area network (WLAN)-based positioning systems are the most widespread around the globe and are commonly found to have a ready-to-use infrastructure composed mostly of access points (APs). They provide useful information on signal strength to be processed by adequate location algorithms, which are not always capable of achieving the desired localization error only by themselves. In this sense, this paper proposes a new method to improve the accuracy of IPSs by optimizing some of their most relevant infrastructure components. Included are the arrangement of APs over the environment, the number of reference points (RPs), and the number of samples per location estimation test. A simulation environment is also proposed, in which the impact of key influencing factors on system accuracy is analyzed. Finally, a case study is simulated to validate an optimal combination of design parameters and its compliance with the requirements of localization error and the limited number of access points. Our simulation results clearly show that the desired localization accuracy, which is set as a goal, can be achieved while maintaining the factors already mentioned at minimal levels, which decreases both system deployment costs and computational effort.

show abstract

“…This section will cover how these metrics are calculated. These calculations are taken from Rajogopal et al [30].…”

Section: Beacon Configuration Evaluationmentioning

confidence: 99%

Navigation of Indoor Spaces Using Multiple Quadrotors

Katona

Morgansen

2019

AIAA Scitech 2019 Forum

View full text Add to dashboard Cite

The operation of uninhabited aerial vehicles (UAVs) indoors faces many challenges, notably from the ineffectiveness of the sensors typically used on these vehicles for flight in outdoor environments, such as Global Navigation Satellite Systems (GNSS) and magnetometers. However, there are many situations when the ability to use a UAV indoors is desirable, such as for surveying underground infrastructure, performing inventory of a warehouse or assisting in search-and-rescue operations. This thesis addresses three challenges facing the autonomous indoor flight of UAVs. First, it proposes a platform for developing a low-cost UAV system using commercial-off-the-shelf hardware and open-source software. The system consists of one or more quadrotors, an ultrasonic beacon system and a ground control station. Next, it surveys methods for measuring the yaw of a vehicle in an indoor environment, including the magnetometer and computer vision techniques The thesis then proposes a method for using an ultrasonic beacon system to measure yaw. The advantages and disadvantages of each method are noted. Finally, the thesis introduces a technique for coordinating a network of multiple vehicles to provide localization to a vehicle performing a mission by moving the reference beacons of the ultrasonic beacon system throughout the space. The algorithm for choosing waypoints for each vehicle is described, and simulations for the algorithms are presented for multiple cases.

show abstract

Beacon placement for range-based indoor localization

Cited by 68 publications

References 13 publications

Anchor selection for UWB indoor positioning

Anchor selection for UWB indoor positioning

A Probabilistic Approach for Optimal Design of Indoor Positioning Systems

Navigation of Indoor Spaces Using Multiple Quadrotors

Contact Info

Product

Resources

About