Angle-of-arrival reception for optical wireless location technology

Arafa, Ahmed; Dalmiya, Sumant; Klukas, Richard; Holzman, Jonathan F.

doi:10.1364/oe.23.007755

Cited by 53 publications

(36 citation statements)

References 16 publications

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“…Proximity [9] 1-2 m Low Mobile phone [16] m Medium Exp-Setup, dsPIC Board [12] 4.5 m Medium MSP 430 [17] 0.01-0.48 m Low [18] 0.3-0.6 m Medium [19] 0.4 m Medium Exp-Setup, RF, LED Fingerprinting [20] 5 cm Low Exp-Setup + E4832A [21] 10 cm Medium [22] 10 cm Low [10] 15-20 cm Medium Exp-Setup, Covered [23] 10 cm Medium [24] 85 cm Medium [25] 1-2 cm Medium [26] 20-80 cm Low [27] 1.69 cm Medium [28] 7 cm Low [29] 5 cm Medium Camera, Robot [30] 5 cm High Exp-Setup [31] 1.3 cm High Exp-Setup, mobile robot [32] 10 cm Medium [33] 10 cm Medium TDoA [34] 2-5 cm High [35] 1 cm High [36] 3.9 cm Medium [37] 0.3 cm Medium [38] 2 cm High [6] -cm AoA [11] 1-2 m Medium Exp-Setup, 5331 APD [39] 0.3 m Medium Mobile phone [40] 5-30 cm High [41] 10 cm High Tripod, protractor, PC [42] 8 cm High [43] 5 cm Medium Table 1. Cont.…”

Section: Algorithm Reference Accuracy Complexity Receiver System Exp mentioning

confidence: 99%

Optical Boundaries for LED-Based Indoor Positioning System

et al. 2019

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Overlap of footprints of light emitting diodes (LEDs) increases the positioning accuracy of wearable LED indoor positioning systems (IPS) but such an approach assumes that the footprint boundaries are defined. In this work, we develop a mathematical model for defining the footprint boundaries of an LED in terms of a threshold angle instead of the conventional half or full angle. To show the effect of the threshold angle, we compare how overlaps and receiver tilts affect the performance of an LED-based IPS when the optical boundary is defined at the threshold angle and at the full angle. Using experimental measurements, simulations, and theoretical analysis, the effect of the defined threshold angle is estimated. The results show that the positional time when using the newly defined threshold angle is 12 times shorter than the time when the full angle is used. When the effect of tilt is considered, the threshold angle time is 22 times shorter than the full angle positioning time. Regarding accuracy, it is shown in this work that a positioning error as low as 230 mm can be obtained. Consequently, while the IPS gives a very low positioning error, a defined threshold angle reduces delays in an overlap-based LED IPS.

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Section: Algorithm Reference Accuracy Complexity Receiver System Exp mentioning

confidence: 99%

Optical Boundaries for LED-Based Indoor Positioning System

et al. 2019

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“…Among others, Dempster et al apply the DoP measure to characterize the quality of AoA-based positioning systems [33]. Arafa et al investigate an effect of DoP on the localization performance of the optical wireless ILS [34]. In [12], the authors propose an analytical DoP-based uncertainty model of precision and apply it with the fingerprinting method to customize the RTLS aimed in an improvement of its performance in terms of localization precision.…”

Section: Survey Of Related Workmentioning

confidence: 99%

Customization of UWB 3D-RTLS Based on the New Uncertainty Model of the AoA Ranging Technique

Jachimczyk¹,

Dziak

Kulesza

2017

Sensors

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Abstract:The increased potential and effectiveness of Real-time Locating Systems (RTLSs) substantially influence their application spectrum. They are widely used, inter alia, in the industrial sector, healthcare, home care, and in logistic and security applications. The research aims to develop an analytical method to customize UWB-based RTLS, in order to improve their localization performance in terms of accuracy and precision. The analytical uncertainty model of Angle of Arrival (AoA) localization in a 3D indoor space, which is the foundation of the customization concept, is established in a working environment. Additionally, a suitable angular-based 3D localization algorithm is introduced. The paper investigates the following issues: the influence of the proposed correction vector on the localization accuracy; the impact of the system's configuration and LS's relative deployment on the localization precision distribution map. The advantages of the method are verified by comparing them with a reference commercial RTLS localization engine. The results of simulations and physical experiments prove the value of the proposed customization method. The research confirms that the analytical uncertainty model is the valid representation of RTLS' localization uncertainty in terms of accuracy and precision and can be useful for its performance improvement. The research shows, that the Angle of Arrival localization in a 3D indoor space applying the simple angular-based localization algorithm and correction vector improves of localization accuracy and precision in a way that the system challenges the reference hardware advanced localization engine. Moreover, the research guides the deployment of location sensors to enhance the localization precision.

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“…These methods present their intricacies. The major drawback of AOA is that the system need expensive sensor arrays or ISs to measure the incident angle with high accuracy, which is needed in indoor environments [24]. TOA need accurate synchronization between Tx (LED) and Rx, which increases the deployment cost [25].…”

Section: Introductionmentioning

confidence: 99%