scholarly journals Research and design of LED indoor positioning system

2020 ◽  
Vol 165 ◽  
pp. 04049
Author(s):  
Liu Yinhui ◽  
Luo Wei ◽  
Zhao Hang
Keyword(s):  
Light Intensity ◽  
Light Source ◽  
Indoor Positioning ◽  
Absolute Position ◽  
Coordinate Position ◽  
Function Relationship ◽  
Positioning Algorithm ◽  
Indoor Positioning System ◽  
Intensity Sensing ◽  
Research And Design

According to indoor positioning requirements, the light intensity sensing circuit is designed with LED as the light source. The function relationship between light intensity and distance is obtained by fitting the experimental data. The distance from the light source to the node to be located is calculated. The coordinate position of the node to be measured on the two-dimensional plane is obtained through the trilateral measurement and positioning algorithm. The experimental results of this system show that the absolute position error is less than 10cm, which can meet the needs of a large number of indoor positioning applications.

scholarly journals Low-Power Indoor Positioning Algorithm Based on iBeacon Network

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Xiaona Zhang ◽  
Shufang Zhang ◽  
Shuaiheng Huai
Keyword(s):  
Low Power ◽  
Performance Improvement ◽  
General Framework ◽  
Logical Structure ◽  
Indoor Positioning ◽  
Positioning System ◽  
Depth Analysis ◽  
Communication Distance ◽  
Positioning Algorithm ◽  
Indoor Positioning System

In this article, we use a low-power iBeacon network to conduct an in-depth analysis and research on the principle of indoor positioning and adopt an efficient and fast positioning algorithm. Secondly, based on the obtained analysis, an iBeacon-based indoor positioning system is proposed to analyze how to use iBeacon for accurate positioning and whether it can effectively compensate for the current mainstream positioning system. We analyze the requirements of the iBeacon-based indoor positioning system and propose the design of this positioning system. We analyze the platform and environment for software development, design the general framework of the positioning system, and analyze the logical structure of the whole system, the structure of data flow, and the communication protocols between each module of the positioning system. Then, we analyze the functions of the server module and the client module of the system, implement the functions of each module separately, and debug the functions of each module separately after each module is implemented. The feasibility of the algorithm and the performance improvement are confirmed by the experimental data. Our results show that the communication distance is improved by approximately 20.25% and the accuracy is improved by 5.62% compared to other existing results.

scholarly journals Mobile Robot Indoor Positioning System Based on K-ELM

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Haixia Wang ◽  
Junliang Li ◽  
Wei Cui ◽  
Xiao Lu ◽  
Zhiguo Zhang ◽  
...  
Keyword(s):  
Mobile Robot ◽  
Indoor Localization ◽  
Indoor Positioning ◽  
Positioning System ◽  
Positioning Accuracy ◽  
Positioning Method ◽  
Kernel Extreme Learning Machine ◽  
Learning Machine ◽  
Positioning Algorithm ◽  
Indoor Positioning System

Mobile Robot Indoor Positioning System has wide application in the industry and home automation field. Unfortunately, existing mobile robot indoor positioning methods often suffer from poor positioning accuracy, system instability, and need for extra installation efforts. In this paper, we propose a novel positioning system which applies the centralized positioning method into the mobile robot, in which real-time positioning is achieved via interactions between ARM and computer. We apply the Kernel extreme learning machine (K-ELM) algorithm as our positioning algorithm after comparing four different algorithms in simulation experiments. Real-world indoor localization experiments are conducted, and the results demonstrate that the proposed system can not only improve positioning accuracy but also greatly reduce the installation efforts since our system solely relies on Wi-Fi devices.

Novel Model of Wireless Sensor with Indoor Positioning Algorithm and Time Synchronization Protocol

2014 ◽  
Vol 1046 ◽  
pp. 335-338
Author(s):  
Qiu Hong Zhang ◽  
Liang Jin
Keyword(s):  
Network Structure ◽  
Time Synchronization ◽  
Indoor Positioning ◽  
Wireless Sensor ◽  
Positioning System ◽  
Head Node ◽  
Positioning Algorithm ◽  
Indoor Positioning System ◽  
Novel Model ◽  
Synchronization Protocol

This paper describes the positioning based on ZigBee network, and it provides location indoor information and node state alarm information. Wireless sensor indoor positioning system consists of 3 types nodes: the coordinator node, reference node and blind. Time synchronization protocol is an efficient synchronization technology star network structure, synchronization to the gateway node as a starting point, each cluster head node synchronization tree network structure. The paper presents novel model of wireless sensor indoor positioning algorithm and time synchronization protocol. Experiments show that the design of indoor positioning system can meet requirement function and performance of nodes positioning system.

A High Precision Indoor Positioning System Based on VLC and Smart Handheld

2014 ◽  
Vol 571-572 ◽  
pp. 183-186 ◽  
Author(s):  
Zhe Xin Ren ◽  
Hong Ming Zhang ◽  
Ling Wei ◽  
Yang Guan
Keyword(s):  
Light Source ◽  
High Precision ◽  
Relative Position ◽  
Visible Light Communication ◽  
Indoor Positioning ◽  
Image Sensor ◽  
Positioning System ◽  
Led Light ◽  
Scene Image ◽  
Indoor Positioning System

This paper proposes an indoor positioning system based on visible light communication technology and intelligent terminals which equipped with image sensors, electronic compasses and gyroscope sensors. Each LED source is modulated with unique codes which represent its absolute location. The receiving terminal gets the LED’s absolute location through the optical link and capture the scene image with image sensor simultaneously. The electronic compass and the gyroscope sensor measure the terminal’s yaw angle, pitch angle and roll angle in real time, together with the scene image, relative position of the terminal and the LED light source can be calculated. Combine the absolute location of the LED light source with the relative position, the system is able to estimate the terminal’s position within the accuracy of about 2 centimeter. Position accuracy can be improved by using high-precision camera and attitude sensors.

scholarly journals The Estimation of the Potential for Using Smart-Trackers as a Part of a Medical Indoor-Positioning System

Electronics ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 107
Author(s):  
Irina V. Pospelova ◽  
Irina V. Cherepanova ◽  
Dmitry S. Bragin ◽  
Ivan A. Sidorov ◽  
Evgeny Yu. Kostyuchenko ◽  
...  
Keyword(s):  
Systolic Pressure ◽  
Indoor Positioning ◽  
Measuring Error ◽  
Health State ◽  
Positioning System ◽  
Study Results ◽  
Precision Estimation ◽  
Positioning Algorithm ◽  
Indoor Positioning System

This research aims to estimate the feasibility of using smart-bracelets as a part of a medicine indoor-positioning system, to monitor the health status and location of patients in a hospital. The smart-bracelet takes on the role of a token of the system and can measure pulse, blood pressure and saturation and provide data transmission over the BLE. The distance between token and anchor was calculated by the RSSI. The position of a token and anchor relative to each other was determined by the trilateration method. The results of the research showed that the accuracy of the developed system in a static position is 1.46 m and exceeds 3 m in a dynamic position. Results of experiments showed that measurements from the smart bracelets are transmitted to the server of the system without distortion. The study results indicated that smart-bracelets could be used to locate patients inside a hospital or estimate their current health state. Given the low accuracy of systolic pressure measurement, it is recommended to develop an algorithm that will allow smooth measuring error for higher-precision estimation of the patient`s general health state. In addition, it is planned to improve the positioning algorithm.

scholarly journals EVALUATION OF DYNAMIC AD-HOC UWB INDOOR POSITIONING SYSTEM

2018 ◽  
Vol XLII-1 ◽  
pp. 379-385 ◽  
Author(s):  
M. Sakr ◽  
A. Masiero ◽  
N. El-Sheimy
Keyword(s):  
Ad Hoc ◽  
Indoor Positioning ◽  
Position Estimation ◽  
Ultra Wideband ◽  
Positioning System ◽  
Range Measurements ◽  
Precision Time ◽  
Anchor Points ◽  
Positioning Algorithm ◽  
Indoor Positioning System

<p><strong>Abstract.</strong> Ultra-wideband (UWB) technology has witnessed tremendous development and advancement in the past few years. Currently available UWB transceivers can provide high-precision time-of-flight measurements which corresponds to range measurements with theoretical accuracy of few centimetres. Position estimation using range measurement is determined by measuring the ranges from a rover or a dynamic node, to a set of anchor points with known positions. However, building a flexible and accurate indoor positioning system requires more than just accurate range measurements. The performance of indoor positioning system is affected by the number and the configuration of the anchor points used, along with the accuracy of the anchor positions.</p><p>This paper introduces LocSpeck, a dynamic ad-hoc positioning system based on the DW1000 UWB transceiver from Decawave. LocSpeck is composed of a set of identical nodes communicating on a common RF channel, forming a fully or partially connected network where the positioning algorithm run on each node. Each LocSpeck node could act as an anchor or a rover, and the role could change dynamically during the same session. The number of nodes in the network could change dynamically, since the firmware of LocSpeck supports adding and removing nodes on-the-fly. The paper compares the performance of the LocSpeck system with commercially available off-the-shelf UWB positioning system. Different operating scenarios are considered when evaluating the performance of the system, including cases where collaboration between the two systems is considered.</p>

scholarly journals Low-Memory Indoor Positioning System for Standalone Embedded Hardware

Electronics ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 1059
Author(s):  
Han Jun Bae ◽  
Lynn Choi
Keyword(s):  
Flash Memory ◽  
Spatial Information ◽  
Indoor Localization ◽  
Indoor Positioning ◽  
Smart Devices ◽  
Localization Accuracy ◽  
Memory Schemes ◽  
Positioning Algorithm ◽  
Indoor Positioning System ◽  
Indoor Spaces

As the proportion and importance of the indoor spaces in daily life are gradually increasing, spatial information and personal location information become more important in indoor spaces. In order to apply indoor positioning technologies in any places and for any targets inexpensively and easily, the system should utilize simple sensors and devices. In addition, due to the scalability, it is necessary to perform indoor positioning algorithms on the device itself, not on the server. In this paper, we construct standalone embedded hardware for performing the indoor positioning algorithm. We use the geomagnetic field for indoor localization, which does not require the installation of infrastructure and has more stable signal strength than RF RSS. In addition, we propose low-memory schemes based on the characteristics of the geomagnetic sensor measurement and convergence of the target’s estimated positions in order to implement indoor positioning algorithm to the hardware. We evaluate the performance in two testbeds: Hana Square (about 94 m × 26 m) and SK Future Hall (about 60 m × 38 m) indoor testbeds. We can reduce flash memory usage to 16.3% and 6.58% for each testbed and SRAM usage to 8.78% and 23.53% for each testbed with comparable localization accuracy to the system based on smart devices without low-memory schemes.

Inter-Method Reliability of Pulse Volume Related Measures Derived Using Finger-Photoplethysmography

2018 ◽  
Vol 32 (4) ◽  
pp. 182-190 ◽  
Author(s):  
Kenta Matsumura ◽  
Koichi Shimizu ◽  
Peter Rolfe ◽  
Masanori Kakimoto ◽  
Takehiro Yamakoshi
Keyword(s):  
Light Intensity ◽  
Adverse Effects ◽  
Light Source ◽  
Direct Current ◽  
Resting State ◽  
Current Component ◽  
Psychophysiological Measures ◽  
Pulse Volume ◽  
Optical Paths ◽  
Sensor Positions

Abstract. Pulse volume (PV) and its related measures, such as modified normalized pulse volume (mNPV), direct-current component (DC), and pulse rate (PR), derived from the finger-photoplethysmogram (FPPG), are useful psychophysiological measures. Although considerable uncertainties exist in finger-photoplethysmography, little is known about the extent of the adverse effects on the measures. In this study, we therefore examined the inter-method reliability of each index across sensor positions and light intensities, which are major disturbance factors of FPPG. From the tips of the index fingers of 12 participants in a resting state, three simultaneous FPPGs having overlapping optical paths were recorded, with their light intensity being changed in three steps. The analysis revealed that the minimum values of three coefficients of Cronbach’s α for ln PV, ln mNPV, ln DC, and PR across positions were .948, .850, .922, and 1.000, respectively, and that those across intensities were .774, .985, .485, and .998, respectively. These findings suggest that ln mNPV and PR can be used for psychophysiological studies irrespective of minor differences in sensor attachment positions and light source intensity, whereas and ln DC can also be used for such studies but under the condition of light intensity being fixed.

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