Title




Indoor positioning in peertopeer networks
 
Author




 
Abstract




We present two algorithms for indoor positioning in peertopeer networks. The setup is a network of two types of devices: reference devices with a known location, and user devices that can determine distances to reference devices and each other. We present two algorithms for positioning estimation in such a peertopeer network. The first one is purely geometric and reduces determining the best estimate for the position of a device to a least squares problem. The second approach can be considered as a probabilistic version of the geometric approach. We estimate the probability density function that a device is located at a position, given a probability density function for the positions of the other devices in the network, and a probability density function of the measured distances. 
 
Language




English
 
Source (journal)




... ESA Workshop on Satellite Navigation Technologies and European Workshop on GNSS Signals and Signal Processing.  Piscataway, NJ
 




WORKSHOP ON GNSS SIGNALS AND SIGNAL PROCESSING (NAVITEC)
 
Source (book)




5th ESA Workshop on Satellite Navigation Technologies / European, Workshop on GNSS Signals and Signal Processing (NAVITEC), DEC 0810, 2010, European Space Res & Technol Ctr, European Space Res & Technol Ctr, Noordwijk, NETHERLANDS
 
Publication




New york
:
Ieee
,
2010
 
ISBN




9781424487417
 
Volume/pages




(2010)
, 8 p.
 
ISI




000406948700051
 
