Triangulation positioning system network

Sfendourakis, Marios; Nilavalan, R.; Antonidakis, Emmanuel

doi:10.1051/matecconf/201712502069

Cited by 3 publications

(1 citation statement)

References 4 publications

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“…(9) By the fact that FY00 and FY01 are on cycles and the cosine theorem [15] of the angle at O 1 in triangles O 1 , FY00 and FY11, which can be obtained.…”

Section: Triangulation Positioning Solutionmentioning

confidence: 99%

Unmanned aerial vehicle passive positioning technology based on cross-location and target splitting

Wang

Yang

et al. 2023

J. Phys.: Conf. Ser.

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In order to ensure that the UAV fleet can maintain maximum electromagnetic silence and minimise the emission of UAV electromagnetic signals during formation flight, a theoretical method of pure azimuth passive positioning can be used to optimise their relative positions. This paper analyses different formation situations of UAVs and presents the best solution for pure azimuth passive positioning of UAVs in formation flight and the corresponding positions. The paper first establishes polar coordinates based on known orientation information. It uses the sine theorem for triangles in the plane and the joint cubic equations to obtain the final result. It then uses triangulation to verify the accuracy of the specific location of the UAV by solving a least squares problem. Using the idea of cross-location, two intersecting trajectories are constructed and their intersection is used to improve the specific position of the UAV. Due to the bias in the position of the location of the signal sent by the UAV, this paper uses of the idea of target segmentation to split the target into multiple sub-targets and implement them separately. This is done in order to avoid the need for more UAVs to send their signal while adjusting the UAV position, making the Drones evenly spaced around a circumference.

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“…(9) By the fact that FY00 and FY01 are on cycles and the cosine theorem [15] of the angle at O 1 in triangles O 1 , FY00 and FY11, which can be obtained.…”

Section: Triangulation Positioning Solutionmentioning

confidence: 99%

Unmanned aerial vehicle passive positioning technology based on cross-location and target splitting

Wang

Yang

et al. 2023

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

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Area Coverage improvement of a Fixed Sensors Network System using Fuzzy Control

Sfendourakis

Staridas

Dimou

et al. 2022

Wseas Transactions on Systems and Control

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This paper presents a novel work on localization of transmitters using triangulation with sensors at fixed positions. This is achieved when three or more sensors cover the whole area, a factor which enables the system to perform localization via triangulation. The network needs to keep a high detection rate which, in most cases, is achieved by adequate sensor coverage. Various tests using various grids of sensors have been carried out to investigate the way the system operates in different cases using a lot of transmitters. Detection complexity is tackled by finding the optimal detecting sensor radius in order for the network to continue operate normally. The coverage quality changes in the area of interest and the network is able to detect new transmitters that might enter the area of interest. It is also shown that as the number of transmitters increases the network keeps its high performance by using additional groups of sensors in a sub-region area of that of interest. This way, even when the network is saturated by many transmitters in one region, new transmitters can still be detected.

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Coverage Area of a Localization Fixed Sensors Network System with the process of Triangulation

Sfendourakis

Zakynthinaki

Vasilaki

et al. 2021

Wseas Transactions on Information Science and Applications

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This paper presents a novel work on localization of transmitters using triangulation with sensors at fixed positions. This is achieved when three or more sensors cover the whole area, a factor which enables the system to perform localization via triangulation. The network needs to keep a high detection rate which, in most cases, is achieved by adequate sensor coverage. Various tests using various grids of sensors have been carried out to investigate the way the system operates in different cases using a lot of transmitters. Detection complexity is tackled by finding the optimal detecting sensor radius in order the network to continue operate normally. The coverage quality changes in the area of interest and the network is able to detect new transmitters that might enter it's area. It is also shown that as the number of transmitters increases the network keeps its high performance by using additional groups of sensors in a sub-region area of that of interest. This way, even when the network is saturated by many transmitters in one region, new transmitters can still be detected.

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Triangulation positioning system network

Cited by 3 publications

References 4 publications

Unmanned aerial vehicle passive positioning technology based on cross-location and target splitting

Unmanned aerial vehicle passive positioning technology based on cross-location and target splitting

Area Coverage improvement of a Fixed Sensors Network System using Fuzzy Control

Coverage Area of a Localization Fixed Sensors Network System with the process of Triangulation

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