• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.11
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• pp.2488-2492
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• 2011

Currently, the importance of location-based services and location awareness has been grown due to the advancement of wireless communication technologies. Among several localization techniques, the trilateration localization is one of major localization techniques. However, distance estimation errors caused by obstacles and indoor environment changes lead to inaccurate localization. Although there are existing trilateration localization methods, they have focused on addressing a few problems of trilateration location approaches without detailed analysis. This paper analyzes existing trilateration location methods and evaluate their performance.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.907-909
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• 2017

실내 환경에서 무인항공기(Unmanned Aerial Vehicle, UAV)를 활용하기 위해서는 실내에서 UAV의 위치 계산 방법이 요구된다. 실내 환경 내에서 위치를 측정하기 위해 블루투스 기반의 비콘(Beacon)과 세 개 이상의 AP(Access Point)를 활용하여 개선된 삼변측량법으로 위치를 계산한다. 개선된 삼변측량법을 활용하여 UAV의 위치를 계산하는 과정에서 AP에서 측정한 비콘의 거리 오차로 인해 개선된 삼변측량법으로 계산한 UAV의 위치에 대한 문제가 발생한다. 이 논문에서는 위치를 계산하는 과정에서 개선된 삼변측량법을 적용하는 과정에서 발생하는 문제를 해결하는 방법을 제안한다. 실험에서는 실내에서 제안한 방법을 활용하여 위치 측정한 결과와 기존의 삼변측량법을 활용하여 위치 측정한 결과를 비교하여 검증한다. 제안한 방법을 이용하여 기존의 삼변측량법을 68.67%의 위치를 개선하였다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.6 no.1
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• pp.3-12
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• 1988

The objective of this paper is to study the characteristics of combination method to correct both angle and distance errors simultaneously based on the least square adjustment methods. Changing the standard errors of distance and angle, the simulation errors of triangultion, trilateration, and combination result in some 39.8%, 33.9%, and 26.3% respectively. As the above, combination method shows more consistent accuracy than other methods. When considering the weight factor about error elements with independence, the diminishing rate of simulated average standard error represents a various change in each method. But considering them simultaneously, it shows a remarkable rate of diminishing 75.5%, 74.1%, and 69.2% in each method. And also, by growing the weight factor, accuracy of triangulation method is growing, whereas that of trilateration is diminishing. Therefore, determining the reasonable weight factors of distance and angle errors simultaneously in the analytical combination method, this method is expected to be one of more accurate and more effective methods for determining horizontal positions on the earth.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.4 no.4
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• pp.105-112
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• 1984

In horizontal positioning, various methods of adjustment have been studied and developed to improve accuracy. This paper aims to present the best effective adjustment in horizontal positioning. In this study, by observation of lengths and angles, Quadrilaterals and center-point pentagon are formed and analysed with Triangulation, Trilateration and combined method.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.9 no.2
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• pp.37-48
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• 1991

In this study, conventional network adjustment and combined network adjustment methods for single network adjustment methods for single network and centric combination network were compared by the analysis of root mean square error and standard error ellipse of observed points. It can be concluded from this study that for conventional surveying methods, the accuracy is in theorder of trilateration, traverse and triangulation, and for the case of combined surveying method, the accuracy is in the order of multilateration surveying, combined traverse and combined triangulation-trilateration surveying. And when establishing new control points, the accuracy can be improved by increasing redundant observations of centric combination network instead of using the single network. Also, in case of combined traverse surveying by adding observable laterals, accuracy level of trilateration could be achieved, and it was found that traverse is effective for large areas where sighting is easy, and combined traverse surveying is effective for urban areas where sighting is difficult.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.7 no.1
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• pp.37-48
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• 1989

Electronic Distance Meter(EDM) is widely used for the traverse surveying and trilateration net recently, therefore, the study on reliability of EDM is very important. In this study, the reliability of EDM is examined by calculating the distortion of traverse surveying net, statistically analyzing the results of side length between triangulation and trilateration. As the result of this study, correction equation of EDM and steel-tape is obtained. And also, linear regression equations with correlation coefficient (0.89-0.98) show resulting from the error analysis of each side length. In addition to checking the distortion of traverse surveying net, distortion calculated with correction EDM appears to be the smallest value.

• Proceedings of the Korean Society of Marine Engineers Conference
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• 2012.06a
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• pp.134-134
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• 2012

본 논문에서는 임의의 고정노드로부터 거리측정에 실패하였을 경우, 현재와 이전의 거리측정값으로부터 예측되는 벡터를 통하여 삼변측량법의 정확도를 높이는 알고리즘을 제안하며, 모의실험을 진행하였다. 그 결과, 수신율이 좋지 못한 상황에서 제안한 알고리즘을 적용 하였을 경우 기존의 삼변측량법에 비해 위치 추정의 정확도가 향상되는 것을 확인하였다.

• Journal of IKEEE
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• v.18 no.1
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• pp.57-63
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• 2014

This paper is to technically implement the sensing platform for Home-Wellness Robot. The self-Localization of indoor mobile robot is very important for the sophisticated trajectory control. In this paper, the robot's self-localization algorithm is designed by RF sensor network and fuzzy inference. The robot realizes its self-localization, using RFID sensors, through the collaboration algorithm which uses fuzzy inference for combining the strengths of triangulation and triangulation. For the triangulation self-Localization, RSSI is implemented. TOA method is used for realizing the triangulation self-localization. The final improved position is, through fuzzy inference, made by the fusion algorithm of the resultant coordinates from trilateration and triangulation in real time. In this paper, good performance of the proposed self-localization algorithm is confirmed through the results of a variety of experiments in the base of RFID sensor network and reader system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.10a
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• pp.493-496
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• 2011

Currently in the development of community wireless technology is gaining interest in location-based services and as a result, the importance of the location information is a growing trend. To calculate the location information is being suggested several ways, among them Trilateration is representative. Trilateration is three beacon nodes, the distance between the location in which you want to calculate with information. Beacon from a node to know where to get information when the distance between the obstacle and the distance error caused by the surrounding environment, which leads to the exact location can not be obtained. Currently due to distance error, location information has a variety of algorithms to reduce the error. However, a systematic analysis of these algorithms is not progress. This paper analyzes the location-aware technologies, and the error the distance of the location information to reduce errors in the various aspects of the algorithm for the systematic and empirical comparison was evaluated through the analysis.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.3
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• pp.448-458
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• 2020

Indoor positioning based on trilateration using common chord estimates location of a mobile subject by using intersection points between each circles which the radius is same as distance between the mobile subject and each radio-frequency transmitter. However, if the intersection points are not found due to error of the distance measurement, it causes failure of estimating the mobile subject's location. To prevent this case, numbers which is proportionate to radius of each circles, are temporarily added to each distances in order to lengthen radius of the circles. Although the estimated location includes error due to the radius extension, it is corrected again by the added value and distance from reference point. With introduction of the advanced correction algorithm, potential issues of existing trilateration such as failure of estimating location and distance measurement error will be minimized.