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检索条件"主题词=positioning algorithm"

共 125 条记录，以下是61-70 订阅

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Implementation of Indoor positioning System based on Location Fingerprinting in Wireless Networks

Implementation of Indoor Positioning System based on Locatio...

引用

4th International Conference on Wireless Communications, Networking and Mobile Computing

作者： Zhao, Yongxiang Zhou, Huaibei Li, Meifang Kong, Ruoshan Wuhan Univ State Key Lab Software Engn Wuhan 430072 Peoples R China Wuhan Univ Sch Management Wuhan 430070 Peoples R China Wuhan Univ Int Sch Software Wuhan 430072 Peoples R China

ISBN: (纸本)9781424421077

With the rapid development of wireless networks, location aware services are becoming more and more attractive especially in indoor areas. To provide location aware services, obtaining the position of a user accurately is vital and using existing communications infrastructure is preferred for cost reasons. In recent years, location fingerprinting schemes are still the most promising because of technical restrictions. In this paper, we discussed the implementation of indoor positioning system firstly. Then we presented experimental testbed methodology, and data collection and discussed the experimental results and analysis. Finally, we summarized the paper and gave possible future directions for research on wireless positioning systems for indoor environments.

关键词： Indoor positioning location fingerprinting positioning algorithm wireless localization

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Performance comparison in Ultra Wide Band positioning in sensor networks: least square minimization versus grid search approach 6

Performance comparison in Ultra Wide Band positioning in sen...

引用

IEEE International Symposium on Measurements and Networking (M&N)

作者： Ferrigno, L. Milano, F. Pingerna, V. Cerro, G. Laracca, M. Univ Cassino & Southern Lazio Dept Elect & Informat Engn Cassino Italy Univ Molise Dept Med & Hlth Sci V Tiberio Campobasso Italy Sapienza Univ Rome Dept Astronaut Elect & Energy Engn Rome Italy

ISBN: (数字)9781665483629

ISBN: (纸本)9781665483629

The localization task in sensor networks is particularly critical whenever the sensor measurements are positionrelated, as in case of thermal and electromagnetic quantities. The deployment of a sensor network often requires the usage of low-cost devices able to achieve acceptable measurement accuracy and having the need to retrieve fast and accurate positioning information. In such networks, the localization task is generally performed by a special node coordinating the network. Nevertheless, its computing power is often limited. To this aim, in this paper we compare two different positioning techniques (least square minimization, grid search), to be applied in Ultra-WideBand positioning scheme, from the accuracy point of view and computing time required for accomplishing the task. They differ in working principle, needed a priori information, localization resolution and time to completion parameter. According to the available resources, the adoption of one of them should be preferable to the other one. Obtained results prove the goodness of both methods, specifically ranking them by application purposes. The paper is intended to give the designers an extensive analysis to evaluate pros and cons to adopt a completely blind positioning technique, namely the least square minimization, versus a more informed and constrained system, as the grid search case.

关键词： Indoor localization positioning algorithm Ultra Wide Band technology

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Indoor positioning System Using Wi-Fi & Bluetooth Low Energy Technology 13

Indoor Positioning System Using Wi-Fi & Bluetooth Low Energy...

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13th IEEE and IFIP International Conference on Wireless and Optical Communications Networks (WOCN)

作者： Varshney, Vibhu Goel, Rajat Kant Qadeer, Mohammed Abdul Aligarh Muslim Univ Dept Comp Engn Aligarh 202002 Uttar Pradesh India

ISBN: (纸本)9781467389754

In the era of wireless communication, almost every other person uses a smartphone not only for traditional calling, but for multiple services. Wi-Fi based services have been on rise, and Wi-Fi signals are omnipresent nowadays. Exploiting the feature of Wi-Fi signal detection from android smartphones, we built an app for user positioning in indoor environment. For testing purposes, we use pre-installed Wi-Fi access points and Beacon devices based on Bluetooth Low Energy (BLE) technology in our department for indoor positioning at the department. Using the classical RSSI based trilateration algorithm, we improved upon the location estimation using gradient descent over error function. We then analyze the results of location estimation with actual measurement of distances.

关键词： Indoor positioning RSSI positioning algorithm error minimization Wi-Fi based positioning Bluetooth Low Energy android application

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Towards zero-configuration for Wi-Fi Indoor positioning System

Towards zero-configuration for Wi-Fi Indoor Positioning Syst...

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8th International Conference on Indoor positioning and Indoor Navigation (IPIN)

作者： Jacq, David Chatonnay, Pascal Bloch, Christelle Canalda, Philippe Spies, Francois Univ Bourgogne Franche Comte CNRS FEMTO ST Inst 1 Cours Leprince Ringuet Montbeliard France

ISBN: (纸本)9781509062997

This paper describes the state of the art of indoor positioning. It describes the Wi-Fi auto-calibration phase of a fast and adaptive algorithm to calculate the position of access-points in a heterogeneous environment such as a building, house or flat. Our proposal can track a mobile terminal in a building with a minimum of preparation. This deployment simplicity relies on the auto-calibration phase. Of course, this service must also provide good positioning accuracy. Therefore, the auto-calibration function described in this paper has two advantages: it serves to initialize and to model the environment using a set of environment parameters that the operator, using the web interface, can confirm or change.

关键词： positioning algorithm Wi-Fi Signal Strength Auto-calibration Network-centric architecture

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An Innovative Mobile Terminal positioning Technique based on UAV-Femtocell Systems 15

An Innovative Mobile Terminal Positioning Technique based on...

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15th Annual International Conference on Distributed Computing in Sensor Systems (DCOSS)

作者： Avanzato, Roberta Beritelli, Francesco Rametta, Corrado Vaccaro, Mario Univ Catania Dept Eletr Elect & Comp Engn Catania Italy

ISBN: (纸本)9781728105703

This paper proposes an innovative technique for identifying any missing persons in natural disaster scenarios using an algorithm that exploits the femtocell sensor's ability to univocally hook a mobile terminal and that of a UAV system to easily approach to the monitoring area. The algorithm locates any mobile terminals with an accuracy of about 2 m.

关键词： UAV systems Femtocell Reference Signal Received Power positioning algorithm 4G/LTE radio technologies

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Analysis of Indoor positioning Approaches Based on Active RFID

Analysis of Indoor Positioning Approaches Based on Active RF...

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5th International Conference on Wireless Communications, Networking and Mobile Computing

作者： Zhu, Feng-juan Wei, Zong-heng Hu, Bin-jie Chen, Jian-guang Guo, Zi-min South China Univ Technol Sch Elect & Informat Engn Guangzhou Guangdong Peoples R China Radio Monitoring Ctr Guangdong Prov Guangzhou Guangdong Peoples R China

ISBN: (纸本)9781424436927

RFID technology is gaining much attention for indoor localization because of its advantages such as non-contact and non-line-of-sight nature. In this paper, we study two typical approaches using active RFID for indoor location sensing: LANDMARC and VIRE, and point out that the latter approach with a fixed threshold of Received Signal Strength Indication (RSSI) difference which determines the elimination of unlikely positions does not work well in complicated indoor environments with severe radio signal multi-path. Analysis of two important factors in VIRE directs us some improvements for adaptation to enhance the accuracy of indoor localization.

关键词： Indoor location positioning algorithm RFID

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Improving the Accuracy of Connectivity-based positioning for Mobile Sensor Networks

Improving the Accuracy of Connectivity-based Positioning for...

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22nd IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： MacLean, Stuart Datta, Suprakash York Univ Dept Comp Sci & Engn Toronto ON M3J 1P3 Canada

ISBN: (纸本)9781457713484

In this paper we present a new positioning algorithm, called Orbit, for mobile sensor networks. The algorithm runs in a fully distributed manner at all nodes. The information available to the algorithm is the radio range of the sensors and, the latest location estimates of neighbours and neighbours of neighbours. The algorithm has several novel aspects. First, we use geometric structures and results from unit disk graphs to impose tighter constraints on sensor positions. Second, we separate the set of possible positions of a node into connected subsets and possibly eliminate some subsets. Using simulations and data from radio experiments, we demonstrate that Orbit outperforms a recently proposed positioning algorithm WMCL-B in terms of positional accuracy for several communication and mobility models with a wide range of parameter values.

关键词： Accuracy Computational modeling Mobile communication Mobile computing Noise measurement Orbits Uncertainty WMCL-B connectivity-based positioning accuracy disk graph geometric structure mobile radio mobile sensor network mobility model parameter value positioning algorithm radionavigation sensor position set theory set theory wireless sensor networks

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Vision-based positioning: Related Technologies, Applications, and Research Challenges 9

Vision-based Positioning: Related Technologies, Applications...

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9th IEEE International Conference on Software Engineering and Service Science (ICSESS)

作者： Zhao, Menglin Yan, Ming Li, Tianqi Commun Univ China Fac Sci & Technol Beijing Peoples R China

ISBN: (纸本)9781538665657

With the rapid development of computer vision technology and the wide use of cameras, vision-based positioning has become a new research hot spot. Higher accuracy, lower cost, wider range of applications and some other advantages make vision-based positioning technology more promising than traditional positioning methods. This paper gives a briefly introduction of different methods of positioning firstly. Then we discuss different technologies of vision-based positioning techniques and their core algorithms. In addition, we compared the advantages and disadvantages of different algorithms. Finally, we investigate different applications of vision-based positioning and analyze the existing problems and possible development trends.

关键词： vision-based positioning computer vision V-SLAM positioning algorithm

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Indoor Three-Dimensional positioning Method Based on CSS

Indoor Three-Dimensional Positioning Method Based on CSS

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International Conference on Mechatronics Engineering and Computing Technology (ICMECT)

作者： Liu, Gaoping Zhang, Jinyan Yang, Ruxiang Zhejiang Wanli Univ EDA Key Lab Ningbo Peoples R China Ningbo Homever Intelligent Technol Co Ltd Ningbo Peoples R China

ISBN: (纸本)9783038351153

This paper designs a three-dimensional positioning scheme suitable for indoor, adopts Chirp Spread Spectrum (CSS) and the particular Symmetric Double-Sided Two-Way Ranging (SDS-TWR). Combining BMP085 pressure sensor to measure altitude, it can implement three-dimensional positioning of a moving object in indoor. Due to the complex indoor environment would cause multipath effect when Chirp signal being transmitted, this scheme uses Kalman filtering method to filter out mutative coordinate value, thus the positioning error can be controlled within 1 m.

关键词： CSS three-dimensional positioning algorithm Kalman filter

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Investigation of bias-free positioning estimators for the scintillation cameras

Investigation of bias-free positioning estimators for the sc...

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Medical Imaging Conference (MIC)

作者： Joung, J Miyaoka, RS Kohlmyer, SG Lewellen, TK Univ Washington Dept Radiol IRL Seattle WA 98105 USA

Bias-free positioning estimators for scintillation cameras are investigated. A linear correlation coefficient (LCC) and Chi square error (CSE) method are evaluated with respect to linearity and spatial resolution performance. The LCC method uses correlation information between the true function (i.e., light response function) and measured data in mapping an event characterization vector to the associated position. The CSE method estimates the position where the Chi square error between two functions becomes minimized. In order to determine true statistics as a function of position, the light response function (LRF) was estimated based on sample measurements by using a cubic spline interpolation technique which provides smooth first-order and continuous second-order derivative of the LRF. Both methods have superior linearity properties compared to the weighted centroid. Each method can be considered as a bias-free positioning estimator within the effective field of view of the detector. The spatial resolution performance of the CSE method is similar to7% and similar to 16% better than the weighted centroid method for a 16- and 25-mm-thick crystal, respectively. The spatial resolution performance of the LCC method is comparable to that of the weighted centroid method.

关键词： positioning algorithm scintillation camera

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