Cluster-Based RF Fingerprint Positioning Using LTE and WLAN Signal Strengths
نویسندگان
چکیده
منابع مشابه
Wifi Positioning System Using WLAN Signal Strengths by Block
Recently indoor WLAN positioning system has been given priority by utilizing the location-based information service. A positioning method, conventional triangulation techniques often rely on measuring the position of the user terminal but due to the interior walls and other obstacles accurate positioning is a difficult problem and the positioning error is large. In this paper, an indoor locatio...
متن کاملΠ8: Indoor Positioning System using WLAN Received Signal Strength Measurements
In this deliverable we provide the details of building an indoor positioning system using WLAN Received Signal Strength (RSS) fingerprints. The positioning system has been deployed at the premises of KIOS Research Center and follows a terminal-based-network-assisted architecture. In our case, users that carry a terminal (Tablet PC) are able to self-locate and positioning is performed entirely o...
متن کاملPositioning Using LTE Signals
GNSS is excellent in open-sky conditions, but in many everyday situations such as traveling in urban canyons or being inside buildings, too few GNSS space vehicles (SV) are visible to get a position fix. An alternative is then desirable, and can be provided by positioning using the signals from cellular base stations. Of particular interest are the new signals and positioning possibilities from...
متن کاملLow-dimensional signal-strength fingerprint-based positioning in wireless LANs
Accurate location awareness is of paramount importance in most ubiquitous and pervasive computing applications. Numerous solutions for indoor localization based on IEEE802.11, bluetooth, ultrasonic and vision technologies have been proposed. This paper introduces a suite of novel indoor positioning techniques utilizing signal-strength (SS) fingerprints collected from access points (APs). Our fi...
متن کاملWLAN Fingerprint Indoor Positioning Strategy Based on Implicit Crowdsourcing and Semi-Supervised Learning
Wireless local area network (WLAN) fingerprint positioning is an indoor localization technique with high accuracy and low hardware requirements. However, collecting received signal strength (RSS) samples for the fingerprint database is time-consuming and labor-intensive, hindering the use of this technique. The popular crowdsourcing sampling technique has been introduced to reduce the workload ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Wireless Information Networks
سال: 2017
ISSN: 1068-9605,1572-8129
DOI: 10.1007/s10776-017-0369-9