Design of an IR-UWB Indoor Localization System Based on a Novel RTT Ranging Estimator

Arrue, Naiara; Losada, Markos; Zamora-Cadenas, Leticia; Jimenez-Irastorza, A.; Vélez, Igone

doi:10.1109/sensordevices.2010.17

Cited by 17 publications

(7 citation statements)

References 5 publications

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“…Three LEDs are located at (1,5), (4,5) and (7,5). We assume these LEDs have the same transmitted power and the same Lambertian pattern.…”

Section: Simulation Results For 2-dmentioning

confidence: 99%

“…Many alternative solutions have been proposed for indoor positioning that are based on visible light, Wi-Fi, Infrared, ultrasonic and image sensing [2][3][4][5][6]. One of the basic needs in indoor positioning is to provide highly accurate turn by turn navigation to users, which is lacking in existing indoor positioning systems.…”

Section: Introductionmentioning

confidence: 99%

“…Some of the existing techniques provide only the proximity area where the user is most likely to be located. Indoor Positioning System (IPS) based on infrared (IR) is the first and the simplest positioning system for indoor settings [5]. IR-based positioning systems generally use the proximity technique.…”

Section: Introductionmentioning

confidence: 99%

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Indoor localization using visible light and accelerometer

Yasir

Vellambi

2013

2013 IEEE Global Communications Conference (GLOBECOM)

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Indoor positioning has attracted a lot of attention in the literature. Positioning systems using the existing wireless network have low deployment cost but the position error can be up to several meters. Some proposed systems have low position error; however, they require extra hardware, thereby resulting in high deployment costs. In this work, we propose a positioning system that offers low position error at a low deployment cost. The proposed system uses visible light communications (VLC) together with the accelerometers in mobile devices. In contrast to existing works on VLC for positioning, our system neither requires the knowledge of the height of the receiver from the ground, nor does it require the receiver to be oriented such that the angle of irradiance of a transmitter equals the incidence angle at the receiver. The proposed system has low complexity, and simulation results show that it achieves position errors of less than 0.5 meter.

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“…Three LEDs are located at (1,5), (4,5) and (7,5). We assume these LEDs have the same transmitted power and the same Lambertian pattern.…”

Section: Simulation Results For 2-dmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Indoor localization using visible light and accelerometer

Yasir

Vellambi

2013

2013 IEEE Global Communications Conference (GLOBECOM)

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“…Another project used sensors placed in a room to localize the person using Impulse-Radio Ultra-WideBand (IR-UWB) [61]. A base station was used to receive the sensor data and coordinates of a tag.…”

Section: Sensor Technology Devicesmentioning

confidence: 99%

A Review of Smart House Analysis Methods for Assisting Older People Living Alone

Sánchez

Pfeiffer

Skeie

2017

JSAN

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Smart Houses are a prominent field of research referring to environments adapted to assist people in their everyday life. Older people and people with disabilities would benefit the most from the use of Smart Houses because they provide the opportunity for them to stay in their home for as long as possible. In this review, the developments achieved in the field of Smart Houses for the last 16 years are described. The concept of Smart Houses, the most used analysis methods, and current challenges in Smart Houses are presented. A brief introduction of the analysis methods is given, and their implementation is also reported.

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“…That is why these factors must be taken into account while deploying reference stations for a radio localization system inside a building, as well as while choosing a proper positioning algorithm. For example, if a localization system utilizes TOA (Time of Arrival) or RTT [14] (Round Trip Time) methods, it most likely uses the Chan [15][16][17] or Foy [18][19][20] algorithm to calculate position. However, the authors of those algorithms remarked that the error distribution of input data should be Gaussian and the mean value of those errors should be equal to zero.…”

Section: Introductionmentioning

confidence: 99%

Utilization of a Non-Linear Error Function in a Positioning Algorithm for Distance Measurement Systems Designed for Indoor Environments

Czapiewska

2019

JSAN

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A new positioning algorithm for distance measurement systems is outlined herein. This algorithm utilizes a non-linear error function which allows us to improve the positioning accuracy in highly difficult indoor environments. The non-linear error function also allows us to adjust the performance of the algorithm to the particular environmental conditions. The well-known positioning algorithms have limitations, mentioned by their authors, which make them unsuitable for positioning in an indoor environment. In this article, there is a brief discussion about the most popular positioning algorithms with consideration of the indoor environment. The new positioning algorithm is described in detail and a comparative performance analysis of the well-known algorithms and the proposed one is conducted. Those research results are achieved with the utilization of real distance measurement data, collected inside a few different buildings, and they show that the proposed algorithm outperforms the Chan and Foy algorithms in indoor environments. In this article the Automatic Person Localization System (SALOn) is also presented, which was utilized to collect measurement data.

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Design of an IR-UWB Indoor Localization System Based on a Novel RTT Ranging Estimator

Cited by 17 publications

References 5 publications

Indoor localization using visible light and accelerometer

Indoor localization using visible light and accelerometer

A Review of Smart House Analysis Methods for Assisting Older People Living Alone

Utilization of a Non-Linear Error Function in a Positioning Algorithm for Distance Measurement Systems Designed for Indoor Environments

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