Download or read book Indoor Positioning System Using IEEE 802 11 WLAN Channel Estimates as Fingerprints written by Erick Schmidt Diaz and published by . This book was released on 2015 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt: Indoor positioning systems (IPS) are emerging technologies due to an increasing popularity and demand in location based service (LBS) indoors because traditional positioning systems such as GPS are limited to outdoor applications. Several IPS are proposed in literature, having the Wi-Fi based positioning system (WPS) as the most promising due to its superior accuracy and wide infrastructure deployment, making it a cost-effective choice. Several WPS have been proposed in the past, from which the best results are shown by so-called fingerprint-based systems. This thesis proposes an indoor positioning system which integrates traditional WLAN fingerprinting by using the received signal strength indicator (RSSI) with channel estimates for improving the classification accuracy with a low number of Access Points (APs). The channel measurements such as impulse response or others, characterize complex indoor area with strong multipath which is quite unique for each indoor location, thus providing a unique signature for better location dependent radio-map pattern recognition. The thesis first proposes an instrumentation design for extracting channel estimates using a Software-Defined Radio (SDR) environment. The instrumentation is designed using an NI-USRP peripheral and LabVIEW software. The wireless measurements are captured in offline mode, surveying the radio-map of a known indoor area. Then indoor positioning using channel estimates is proposed for several scenarios with low number (one and two) access points (APs) when traditional fingerprinting technologies do not work well. Three surveying granularities in grid locations are studied: 4, 8 and 12 ft. A Support Vector Machine (SVM) is used as the algorithm for pattern recognition of different locations based on the samples taken from RSSI and channel estimation magnitudes.

Download or read book Wireless Indoor Positioning written by Gaber Abdo and published by Sudwestdeutscher Verlag Fur Hochschulschriften AG. This book was released on 2015-07-27 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wireless positioning using radio signals has received considerable attention in the field of navigation and tracking. However, the existing navigation systems that are based on satellites cannot provide accurate position estimation in urban and indoor environments due to shadowing and various sources of noise and interference. As a result, the wireless indoor positioning is emerging as a new important research area, its services will be widely used in the future. In this work, an effective wireless indoor positioning has been developed based on the opportune signals of IEEE 802.11 standards. The problem of highly resolving the propagation time delays, the relative direction of arrivals, and the relative amplitudes of multipath signals has been addressed for a high-resolution wireless positioning system. The developed algorithms use a very efficient computational methodology for real time implementation. In addition, non-iterative weighted least square estimators are presented to estimate the mobile unit coordinates based on the estimated observations. The problem of obstruction of the direct path due to the harsh nature of indoor environments has also been investigated.

Download or read book Wireless Indoor Positioning Based on TDOA and DOA Estimation Techniques Using IEEE 802 11 Standards written by Abdo Nasser Ali Gaber and published by . This book was released on 2015 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Understanding GPS written by Elliott D. Kaplan and published by Artech House Mobile Communicat. This book was released on 2006 with total page 738 pages. Available in PDF, EPUB and Kindle. Book excerpt: Appendix B:Stability Measures for Frequency Sources 665Appendix C:Free-Space Propagation Loss 669; About the Authors 675; Index 683; Mobile Communications Library.

Download or read book Wireless Indoor Localization written by Chenshu Wu and published by Springer. This book was released on 2018-08-22 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive and in-depth understanding of wireless indoor localization for ubiquitous applications. The past decade has witnessed a flourishing of WiFi-based indoor localization, which has become one of the most popular localization solutions and has attracted considerable attention from both the academic and industrial communities. Specifically focusing on WiFi fingerprint based localization via crowdsourcing, the book follows a top-down approach and explores the three most important aspects of wireless indoor localization: deployment, maintenance, and service accuracy. After extensively reviewing the state-of-the-art literature, it highlights the latest advances in crowdsourcing-enabled WiFi localization. It elaborated the ideas, methods and systems for implementing the crowdsourcing approach for fingerprint-based localization. By tackling the problems such as: deployment costs of fingerprint database construction, maintenance overhead of fingerprint database updating, floor plan generation, and location errors, the book offers a valuable reference guide for technicians and practitioners in the field of location-based services. As the first of its kind, introducing readers to WiFi-based localization from a crowdsourcing perspective, it will greatly benefit and appeal to scientists and researchers in mobile and ubiquitous computing and related areas.

Download or read book Geographical and Fingerprinting Data for Positioning and Navigation Systems written by Jordi Conesa and published by Academic Press. This book was released on 2018-10-06 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geographical and Fingerprinting Data for Positioning and Navigation Systems: Challenges, Experiences and Technology Roadmap explores the state-of-the -art software tools and innovative strategies to provide better understanding of positioning and navigation in indoor environments using fingerprinting techniques. The book provides the different problems and challenges of indoor positioning and navigation services and shows how fingerprinting can be used to address such necessities. This advanced publication provides the useful references educational institutions, industry, academic researchers, professionals, developers and practitioners need to apply, evaluate and reproduce this book’s contributions. The readers will learn how to apply the necessary infrastructure to provide fingerprinting services and scalable environments to deal with fingerprint data. Provides the current state of fingerprinting for indoor positioning and navigation, along with its challenges and achievements Presents solutions for using WIFI signals to position and navigate in indoor environments Covers solutions for using the magnetic field to position and navigate in indoor environments Contains solutions of a modular positioning system as a solution for seamless positioning Analyzes geographical and fingerprint data in order to provide indoor/outdoor location and navigation systems

Download or read book Encyclopedia of GIS written by Shashi Shekhar and published by Springer Science & Business Media. This book was released on 2007-12-12 with total page 1392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Encyclopedia of GIS provides a comprehensive and authoritative guide, contributed by experts and peer-reviewed for accuracy, and alphabetically arranged for convenient access. The entries explain key software and processes used by geographers and computational scientists. Major overviews are provided for nearly 200 topics: Geoinformatics, Spatial Cognition, and Location-Based Services and more. Shorter entries define specific terms and concepts. The reference will be published as a print volume with abundant black and white art, and simultaneously as an XML online reference with hyperlinked citations, cross-references, four-color art, links to web-based maps, and other interactive features.

Download or read book Wireless Rechargeable Sensor Networks 2019 written by ChangWu Yu and published by MDPI. This book was released on 2020-12-15 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wireless sensor networks, due to their various applications in many fields and limited power consumption, have attracted much attention recently. Most previous methods have focused on providing energy-saving strategies to elevate the lifetime of sensor networks. Another aggressive but different approach is to wirelessly recharge sensor nodes to increase the lifetime of the sensor networks. This book collects articles that address state-of-the-art technologies and new developments for wireless rechargeable sensor networks (WRSNs), including the latest hot topics such as charger deployment, charger scheduling, wireless energy transfer, mobile charger design, energy-harvesting technique, and energy provisioning. We believe that the accepted articles present the most up-to-date progress in algorithms and theory for robust wireless sensor networks with respect to different networking problems.

Download or read book Indoor Positioning and Navigation written by Simon Tomazič and published by Mdpi AG. This book was released on 2021-11-12 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, rapid development in robotics, mobile, and communication technologies has encouraged many studies in the field of localization and navigation in indoor environments. An accurate localization system that can operate in an indoor environment has considerable practical value, because it can be built into autonomous mobile systems or a personal navigation system on a smartphone for guiding people through airports, shopping malls, museums and other public institutions, etc. Such a system would be particularly useful for blind people. Modern smartphones are equipped with numerous sensors (such as inertial sensors, cameras, and barometers) and communication modules (such as WiFi, Bluetooth, NFC, LTE/5G, and UWB capabilities), which enable the implementation of various localization algorithms, namely, visual localization, inertial navigation system, and radio localization. For the mapping of indoor environments and localization of autonomous mobile sysems, LIDAR sensors are also frequently used in addition to smartphone sensors. Visual localization and inertial navigation systems are sensitive to external disturbances; therefore, sensor fusion approaches can be used for the implementation of robust localization algorithms. These have to be optimized in order to be computationally efficient, which is essential for realtime processing and low energy consumption on a smartphone or robot.

Download or read book Robust Indoor Positioning in WLAN Networks written by Juan Manuel Castro-Arvizu and published by . This book was released on 2017 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: Navigation and location technologies have been reaching in a major interest where Global Navigation Satellite System (GNSS) is mostly adopted. The limitation of this technology is that direct sky view is needed for reliable positioning. In indoor environments, however, it is difficult for GNSS technology to provide a reliable performance in positioning due to the signal attenuation and blocking caused by buildings and construction materials. For this reason, the growth in indoor applications has focused the research in new techniques for attempting mitigate the poor GNSS performance on this type of environments In the context of indoor positioning, multitude of emerging technologies for localization based on ultrasound, infrared, Ultra Wide Band (UWB), Zigbee, inertial navigation and other non-GNSS technologies have been proposed but special equipment is required and a large number of signal sources are needed. However, Wireless Local Area Network (WLAN) technology is widely used in indoor positioning. While the same requirements are also needed as the other technologies in order to improve the positioning accuracy, in terms of cost and ability, Wireless-based indoor location is widely used due to the already deployment of Anchor Points (AP) in urban and indoor areas. There are several methods for indoor positioning purposes e.g ToA (Time of Arrival), Received Signal Strength (RSS) measurements, AoA (Angle of Arrival), fingerprinting and so on. Most of the network-based location estimations use RSS measurements because almost all mobile devices are afforded to use this type of measurements. So, this thesis is centered in WLAN RSS-based positioning systems. The first step for indoor positioning is the distance estimation between the user and the AP. Theoretical and empirical propagation channel models are used to translate the difference between the transmitted and Received Signal Strength into an estimated range. A Propagation channel model built the radio map and also report changes in the environment. There are several models in the literature to characterize this channel. Indoor RSS-based localization has become a popular solution, but standard techniques still consider a time invariant simple single slope path loss channel model with a priori known constant channel parameters. While some contributions considered the RSS-based localization problem using a single path loss model with unknown parameters, the general solution that considersa generalized distance dependent measurement model is an important missing point. This thesis considers the two-slope channel model and proposes a robust indoor positioning solution based on a parallel architecture using a set of Interacting Multiple Models (I10), each one involving two Extended Kalman filters (EKF) and dealing with the estimation of the distance to a given AP. Within each I10, the two-slope path loss model parameters are sequentially estimated with Maximum Likelihood Estimate (MLE) to provide a robust solution. Finally, the set of distance estimates are fused into a standard EKF-based solution to mobile target tracking. In addition, the benchmarks derived in this thesis to evaluate the performance of our I10-EKF algorithm are the Cramér Rao Lower Bound (CRLB) and the Posterior Cramér Rao Lower Bound (PCRLB) providing a guidance in the improvement of the experimental design. The CRLB is used to assess the estimation of model parameters and the PCRLB for tracking solution. This, combined with a path-loss exponent estimation, the channel calibration algorithm is validated with an online range estimation. The central theme throughout this thesis is to develop a completely online two-slope channel calibration and, simultaneously, a mobile target tracking algorithm. The performance of the method is assessed through realistic computer simulations and validated with real RSS measurements obtained from experimental tests in a typical office environment.

Download or read book New Trends in Software Methodologies Tools and Techniques written by A. Selamat and published by IOS Press. This book was released on 2014-08-29 with total page 1128 pages. Available in PDF, EPUB and Kindle. Book excerpt: Software is the essential enabling means for science and the new economy. It helps us to create a more reliable, flexible and robust society. But software often falls short of our expectations. Current methodologies, tools, and techniques remain expensive and are not yet sufficiently reliable, while many promising approaches have proved to be no more than case-by-case oriented methods. This book contains extensively reviewed papers from the thirteenth International Conference on New Trends in software Methodology, Tools and Techniques (SoMeT_14), held in Langkawi, Malaysia, in September 2014. The conference provides an opportunity for scholars from the international research community to discuss and share research experiences of new software methodologies and techniques, and the contributions presented here address issues ranging from research practices and techniques and methodologies to proposing and reporting solutions for global world business. The emphasis has been on human-centric software methodologies, end-user development techniques and emotional reasoning, for an optimally harmonized performance between the design tool and the user. Topics covered include the handling of cognitive issues in software development to adapt it to the user's mental state and intelligent software design in software utilizing new aspects on conceptual ontology and semantics reflected on knowledge base system models. This book provides an opportunity for the software science community to show where we are today and where the future may take us.

Download or read book Positioning and Navigation in Complex Environments written by Yu, Kegen and published by IGI Global. This book was released on 2018-01-05 with total page 596 pages. Available in PDF, EPUB and Kindle. Book excerpt: The limitations of satellites create a large gap in assistive directional technologies, especially indoors. The methods and advances in alternate directional technologies is allowing for new systems to fill the gaps caused by the limitations of GPS systems. Positioning and Navigation in Complex Environments is a critical scholarly resource that examines the methodologies and advances in technologies that allow for indoor navigation. Featuring insight on a broad scope of topics, such as multipath mitigation, Global Navigation Satellite System (GNSS), and multi-sensor integration, this book is directed toward data scientists, engineers, government agencies, researchers, and graduate-level students.

Download or read book Advances in Wireless Sensor Networks written by Limin Sun and published by Springer. This book was released on 2015-05-15 with total page 702 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th China Conference of Wireless Sensor Networks, held in Xi'an, China, in October/November 2014. The 64 revised full papers were carefully reviewed and selected from 365 submissions. The papers are organized in topical sections on power control and management; network architecture and deployment; positioning and location-based services in wireless sensor networks; security and privacy; wireless communication systems and protocols; routing algorithm and transport protocols in wireless sensor networks; wireless communication protocols and sensor data quality, integrity and trustworthiness; Internet of Things; wireless mobile network architecture, in-vehicle network; indoor positioning and location-based services; applications of wireless sensor networks.

Download or read book Directional Beaconing Fingerprinting a Method for Indoor Location Estimation Using IEEE 802 11 written by Abubakr Siddig and published by . This book was released on 2017 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Handbook of Position Location written by Reza Zekavat and published by John Wiley & Sons. This book was released on 2019-01-28 with total page 1376 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive review of position location technology — from fundamental theory to advanced practical applications Positioning systems and location technologies have become significant components of modern life, used in a multitude of areas such as law enforcement and security, road safety and navigation, personnel and object tracking, and many more. Position location systems have greatly reduced societal vulnerabilities and enhanced the quality of life for billions of people around the globe — yet limited resources are available to researchers and students in this important field. The Handbook of Position Location: Theory, Practice, and Advances fills this gap, providing a comprehensive overview of both fundamental and cutting-edge techniques and introducing practical methods of advanced localization and positioning. Now in its second edition, this handbook offers broad and in-depth coverage of essential topics including Time of Arrival (TOA) and Direction of Arrival (DOA) based positioning, Received Signal Strength (RSS) based positioning, network localization, and others. Topics such as GPS, autonomous vehicle applications, and visible light localization are examined, while major revisions to chapters such as body area network positioning and digital signal processing for GNSS receivers reflect current and emerging advances in the field. This new edition: Presents new and revised chapters on topics including localization error evaluation, Kalman filtering, positioning in inhomogeneous media, and Global Positioning (GPS) in harsh environments Offers MATLAB examples to demonstrate fundamental algorithms for positioning and provides online access to all MATLAB code Allows practicing engineers and graduate students to keep pace with contemporary research and new technologies Contains numerous application-based examples including the application of localization to drone navigation, capsule endoscopy localization, and satellite navigation and localization Reviews unique applications of position location systems, including GNSS and RFID-based localization systems The Handbook of Position Location: Theory, Practice, and Advances is valuable resource for practicing engineers and researchers seeking to keep pace with current developments in the field, graduate students in need of clear and accurate course material, and university instructors teaching the fundamentals of wireless localization.

Download or read book Localization Algorithms and Strategies for Wireless Sensor Networks Monitoring and Surveillance Techniques for Target Tracking written by Mao, Guoqiang and published by IGI Global. This book was released on 2009-05-31 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wireless localization techniques are an area that has attracted interest from both industry and academia, with self-localization capability providing a highly desirable characteristic of wireless sensor networks. Localization Algorithms and Strategies for Wireless Sensor Networks encompasses the significant and fast growing area of wireless localization techniques. This book provides comprehensive and up-to-date coverage of topics and fundamental theories underpinning measurement techniques and localization algorithms. A useful compilation for academicians, researchers, and practitioners, this Premier Reference Source contains relevant references and the latest studies emerging out of the wireless sensor network field.

Download or read book WLAN Fingerprinting Based Indoor Positioning in the Presence of Censored and Dropped Data written by Manh Kha Hoang and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Developing a reliable indoor positioning and navigation system is of a particular interest for a variety of applications such as location-based services, person or object localization and tracking systems, etc.. Many methods have been proposed to improve the positioning accuracy in an indoor environment. Amongst them, approaches employing Wireless LAN (WLAN) and inertial sensor information seem to be the most promising because of the wide deployment of WLAN in many public areas, and because inertial sensors are now available on most modern smartphones. WLAN fingerprinting based positioning suffers from censored and dropped data, which has not yet received much attention in the literature. Censoring refers to the fact that sensors are unable to measure Received Signal Strength Index (RSSI) values below some threshold. Dropping means that occasionally RSSI measurements of access points are not available, although their value is clearly above the censoring threshold. This thesis, therefore, concentrates on parameter estimation of the assumed Gaussian distribution of WLAN data in the presence of censored and dropped data. In addition, RSSI statistics gathered from smartphones of different vendors are not identical because of different hardware and software employed. Moreover, smartphones from the same vendor and even the same model are not able to return the same signal strength when they measure the data at the same conditions. As a result, another goal of this study is to address the problem of the differences of the sensor sensitivities of smartphones when censored and dropped data are present in the measurement data. To further improve the positioning accuracy, methods for combining the fingerprinting based positioning with dead reckoning techniques are explored. Within this work, this is achieved by a hidden Markov model (HMM), where the HMM states are the positions where fingerprints have been taken... ; eng