Complex Imitation Model of Radio Emission Sources`s Positioning  in the Non-Line-of-Sight Conditions

This article presents the development of a generalized mathematical model for estimating the limits of positioning accuracy, which was studied in part 1, when determining the radio source location using the difference-range and goniometric methods for particular scenarios on the plane. The results of this study were implemented in 2D models, which is a convenient tool for establishing the positioning accuracy limits and can it be practically used to substantiate the topologies of station placement in modern and advanced radio networks for solving radio communication, radar, and radio navigation problems, including adaptive beamforming for establishing and maintaining communications. Using private scenarios with three radio stations as an example, it is shown that for positioning of neighboring devices under conditions of their ultra dense distribution on the plane during the cooperation of the minimum required receivers number, the goniometer method is preferable.

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Positioning Accuracy Evaluation of Radio Emission Sources Using Time Difference of Arrival and Angle of Arrival Methods. Part 3. 3D-Simulation

Fokin¹,

Lazarev²

2020

PTU

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This work completes a series of studies evaluating positioning accuracy of radiation sources using the differential-range and/or goniometric method for the spatial scenario. A complex of models and methods is proposed for estimating the limits of positioning accuracy by the metric of the scattering ellipsoid of the lower Cramer – Rao boundary and circular spherical deviation in 3D. Based on the developed tools, a quantitative and qualitative analysis of positioning scenarios in superdense 5G radio networks was performed. The assessments made it possible to verify the requirements of 3GPP specifications for the accuracy and reliability of geolocation applications and services in the promising 5G ecosystem.

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Complex Imitation Model of Radio Emission Sources`s Positioning in the Non-Line-of-Sight Conditions

Cited by 4 publications

References 3 publications

Algorithm for Positioning in Non-line-of-Sight Conditions Using Unmanned Aerial Vehicles

Algorithm for Positioning in Non-line-of-Sight Conditions Using Unmanned Aerial Vehicles

Positioning Accuracy Evaluation of Radio Emission Sources Using Time Difference of Arrival and Angle of Arrival Methods. Part 2. 2D-Simulation

Positioning Accuracy Evaluation of Radio Emission Sources Using Time Difference of Arrival and Angle of Arrival Methods. Part 3. 3D-Simulation

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