20275

Автор(ов): 

5

Параметры публикации
Тип публикации: 
Доклад
Название: 
Real Time Location Using WiFi Fingerprints and Multiple Targets Tracking Approach
Наименование конференции: 
25th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2012, Nashville, USA)
Наименование источника: 
Proceedings of the 25th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2012, Nashville, USA)
Город: 
Nashville, USA
Издательство: 
The Institute of Navigation
Год издания: 
2012
Страницы: 
967-975
Аннотация
GNSS is widely used for outdoor location and navigation. GPS was successfully augmented by GLONASS. In future the constellation of navigation satellites will be enhanced by Galileo, Compass, QZSS. Large satellite constellation, improvement of ephemeris quality, and using triple frequency band pseudo-range and carrier phase measurements will potentially make robust standalone solution to converge to the sub decimeter level of accuracy for most part of outdoor navigation applications. Assisted GNSS expands its capabilities to harsh conditions, but nevertheless GNSS is blind in deep indoor environments. So other approaches to positioning have been proposed for indoor navigation. One of most widely used approaches is based on using 802.11 Wi-Fi. It allows for obtaining of low cost location solution using already deployed access points (AP) just modifying firmware part of the system. Received signal strength indicator (RSSI) is widely used in navigation equations as raw measurements the same way as pseudo-ranges are used in satellites navigation equations. But, classic logarithmic loss function connecting distance to AP with RSSI readings can be used only in ideal environments, free of sources of fading and multipath. Understanding of this disadvantage gave rise of using fingerprint-based methods, connecting samples (or fingerprints) of RSSI measurements with certain calibration (or anchor) points whose precise position is stored in the calibration database together with RSSI fingerprint vectors. Comparing measured RSSI values from plurality of AP’s with stored samples of fingerprints gives a key for indoor position determination.
Библиографическая ссылка: 
Рапопорт Л.Б., Yi Y.N., Yanxing Z.Z., Jianqiang S.S., Шатилов С.N. Real Time Location Using WiFi Fingerprints and Multiple Targets Tracking Approach / Proceedings of the 25th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2012, Nashville, USA). Nashville, USA: The Institute of Navigation, 2012. С. 967-975.