• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.10
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• pp.1197-1209
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• 2016

As Indoor Positioning System demands due to increased penetration and utilization of smart device, Indoor Positioning System using Wi-Fi or BLE(Bluetooth Low Energy) beacon takes center stage. In this paper, a terminal location of the user is calculated through Microscopic Trilateration using RSSI based on BLE. In the next step, a fingerprinting map appling approximate value of Microscopic Trilateration increases an efficiency of computation amount and energy for Indoor Positioning System. I suggest Indoor Positioning Algorithm based on BLE fingerprinting considering efficiency of energy by conducting precise Trilateration that assure user's terminal position by using AP(Access Point) surrounding targeted fingerprinting cells. And This paper shows experiment and result based on An Suggesting Algorithm in comparison with a fingerprinting based on BLE and Wi-Fi that be used for Indoor Positioning System.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2021.06a
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• pp.250-252
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• 2021

블루투스 비콘을 이용한 실내 측위 시스템에서 수신 RSSI 신호는 다중경로 페이딩, 주변 신호의 간섭 등의 영향으로 인하여 불규칙한 잡음이 섞이게 된다. 본 논문에서는 실제 실내 환경에서의 측정을 통해 RSSI 신호의 통계적 특성을 분석한다. 또한, RSSI 신호의 잡음을 완화시켜서 효과적으로 실내 측위를 수행할 수 있는 방안에 대해서도 모색해 본다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.11
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• pp.2411-2418
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• 2011

The most typically utilized positioning method in the existing indoor WPS that is a positioning method utilizing distributed wireless network is the finger print. Its positioning is carried out by calculating the difference between the AP information map and WiFi AP signal collected. However, there are problems like low accuracy and high cost when the existing method and the radio map formation are applied to outdoors. In this paper, the characteristics of the existing WPS are surveyed and their problems are examined. In addition, we propose a new WPS using weak signal and a method to construct radio map in order to solve the above problems. And then, the results of experimental test will be analyzed.

• Smart Media Journal
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• v.4 no.2
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• pp.68-76
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• 2015

Recently, research on indoor locating techniques using smart device sensors has been conducted actively, Owing to the exponential increase in the use of various smart devices. However, in order to develop indoor location techniques, there are limitations due to the requirement that the tracking system has to function without GPS. In this paper, we propose an accurate indoor locating system that does not require additional infrastructure. The proposed scheme is developed based on the idea that the advantages and disadvantages of "Wi-Fi Fingerprinting" and "Step Detection" techniques are complementary. In the proposed scheme, we track users with "Step Detection," and correct errors with "Wi-Fi Fingerprinting." In this paper, we demonstrate the effectiveness and feasibility of our proposed scheme through experiments.

• Journal of the Korean Association of Geographic Information Studies
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• v.26 no.4
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• pp.130-144
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• 2023

Recently, various positioning technologies are being researched based on signal-based positioning and image-based positioning to obtain accurate indoor location information. Among these, various studies are being conducted on image positioning technology that determines the location of a mobile terminal using images acquired through cameras and sensor data collected as needed. For video-based positioning, a method of determining indoor location is used by matching mobile terminal photos with virtual landmark images, and for this purpose, it is necessary to build indoor spatial information about various landmarks such as billboards, vending machines, and ATM machines. In order to construct indoor spatial information on various landmarks, a panoramic image in the form of a road view and accurate 3D survey results were obtained through c 13 buildings of the Electronics and Telecommunications Research Institute(ETRI). When comparing the 3D total station final result and the terrestrial lidar panoramic image coordinates, the coordinates and distance performance were obtained within about 0.10m, confirming that accurate landmark construction for use in indoor positioning was possible. By utilizing these terrestrial lidar achievements to perform 3D landmark modeling necessary for image positioning, it was possible to more quickly model landmark information that could not be constructed only through 3D modeling using existing as-built drawings.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.24 no.1
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• pp.65-71
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• 2006

There has been equipped wireless network infrastructure making possible to contact mobile computing at buildings, university, airport etc. Due to increase of mobile user dramatically, it raises interest about application and importance of LBS. The purpose of this study is to develop an indoor positioning system which is position of mobile users using Wireless LAN signal strength. We present Euclidean distance model and Bayesian inference model for analyzing position determination. The experimental results showed that the positioning of Bayesian inference model is more accurate than that of Euclidean distance model. In case of static target, the positioning accuracy of Bayesian inference model is within 2 m and increases when the number of cumulative tracking points increase. We suppose, however, Bayesian inference model using 5- cumulative tracking points is the most optimized thing, to decrease operation rate of mobile instruments and distance error of tracking points by movement of mobile user.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.262-264
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• 2013

본 논문은 실내에서 사용자의 위치를 측위하기 위해 건물 실내에 설치되어 있는 Wireless AP(Access Point)에서 발신되는 RSSI(Received signal strength indication)를 수집한 후 Friis 공식을 통해 거리로 변환하여 위치를 측위한다. Friis 공식을 적용하는 과정에서 RSSI 신호가 약할수록 거리의 오차가 매우 심하게 변동되기 때문에 본 논문에서는 이러한 오차를 개선하기 위해 신호세기가 강한 2개의 AP좌표와 RSSI를 이용하여 두 원의 교점을 구하는 방정식과 좌표 사이의 거리를 구하는 방정식을 사용하는 위치측위 시스템을 구현하였고, 실험결과 제안한 방법이 기존의 삼각측량법보다 오차가 개선되었음을 확인할 수 있었다.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.20-23
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• 2017

의료 기기 관리의 중요성에 따라 의료 기기의 실시간 실내 측위의 필요성이 대두되고 있다. 본 논문에서는 의료 기기에 Wi-Fi 태그를 부착하여 삼각 측량과 핑거프린트 방식을 이용한 의료 기기의 실시간 실내 측위 시스템을 구현하고자 한다. 중앙 제어 모듈과 의료 기기에 부착한 Wi-Fi 태그와의 통신을 통하여, 의료 기기의 위치 정보를 관리하는 데이터베이스를 실시간으로 파악함으로써 의료 기기의 정확한 위치 확인이 가능하다. 본 시스템을 통해 의료 기기에 부착한 Wi-Fi 태그의 실시간 위치 파악 및 정보 관리가 가능하여 의료 기기의 관리가 용이할 것으로 기대한다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.4
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• pp.76-86
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• 2013

As the basic Kalman filter is limited to be used for indoor navigation, and particle filters incur serious computational overhead, especially in mobile devices, we propose an adaptive hybrid filter for WiFi-based indoor positioning systems. The hybrid filter utilizes the same prediction framework of the basic Kalman filter, and it adopts the notion of particle filters only using a small number of particles. Restricting the predicts of a moving object to a small number of particles on a way network and substituting a dynamic weighting scheme for Kalman gain are the key features of the filter. The adaptive hybrid filter showed significantly better accuracy than the basic Kalman filter did, and it showed greatly improved performance in processing time and slightly better accuracy compared with a particle filter.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.11
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• pp.1551-1558
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• 2021

Beacon signals used in indoor positioning system are reflected and distorted, resulting in noise signals. KF(Kalman Filter) has been widely used to remove this noise. In order to apply the KF, optimization process considering the signal type, signal strength, and environmental elements of each product is required. In this paper, we propose a solution to the optimization problem of KF Parameters using GA(Genetic Algorithm) in BLE(Bluetooth Low Energy) Beacon-based indoor positioning system. After optimizing KF Parameters by applying the proposed technique with a certain distance between Beacon and receiver, we compared the estimated distance passed through KF with the unfiltered distance. The proposed technique is expected to reduce the time required and improve accuracy of KF Parameters optimization in an indoor positioning system based on RSSI (Received Signal Strength Indication).