An Improved Neural Network Training Algorithm for Wi-Fi Fingerprinting Positioning
نویسندگان
چکیده
منابع مشابه
An Improved Neural Network Training Algorithm for Wi-Fi Fingerprinting Positioning
Ubiquitous positioning provides continuous positional information in both indoor and outdoor environments for a wide spectrum of location based service (LBS) applications. With the rapid development of the low-cost and high speed data communication, Wi-Fi networks in many metropolitan cities, strength of signals propagated from the Wi-Fi access points (APs) namely received signal strength (RSS)...
متن کاملAn Enhanced Neural Network Algorithm using Wi-Fi Fingerprinting
Pervasive positioning provides uninterrupted positional information in both indoor and outdoor locations for a wide spectrum of location based service (LBS) applications. With the rapid enlargement of the low-cost and high speed data communication, Wi-Fi networks in many metropolitan cities, strength of signals broadcasted from the Wi-Fi access points (APs) namely received signal strength (RSS)...
متن کاملWi-Fi Crowdsourced Fingerprinting Dataset for Indoor Positioning
Benchmark open-source Wi-Fi fingerprinting datasets for indoor positioning studies are still hard to find in the current literature and existing public repositories. This is unlike other research fields, such as the image processing field, where benchmark test images such as the Lenna image or Face Recognition Technology (FERET) databases exist, or the machine learning field, where huge dataset...
متن کاملUse of Fingerprinting in Wi-Fi Based Outdoor Positioning
Though GPS is the most popular positioning system at presents it does not perform well in indoor environments and urban canyons or metropolitan city areas. Wi-Fi has been accepted as one of the good candidates for indoor positioning, its performance in outdoor environment is also of interest as a Wi-Fi based positioning system can overcome the shortcomings of GPS. An experiment has been carried...
متن کاملAn Improved Algorithm to Generate a Wi-Fi Fingerprint Database for Indoor Positioning
The major problem of Wi-Fi fingerprint-based positioning technology is the signal strength fingerprint database creation and maintenance. The significant temporal variation of received signal strength (RSS) is the main factor responsible for the positioning error. A probabilistic approach can be used, but the RSS distribution is required. The Gaussian distribution or an empirically-derived dist...
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ژورنال
عنوان ژورنال: ISPRS International Journal of Geo-Information
سال: 2013
ISSN: 2220-9964
DOI: 10.3390/ijgi2030854