DocumentCode :
2653810
Title :
Accuracy limits of in-room localisation using RSSI
Author :
Potortì, Francesco ; Corucci, Alessandro ; Nepa, Paolo ; Furfari, Francesco ; Barsocchi, Paolo ; Buffi, Alice
Author_Institution :
ISTI, CNR, Pisa, Italy
fYear :
2009
fDate :
1-5 June 2009
Firstpage :
1
Lastpage :
4
Abstract :
An ML approach is able to exploit all available information, and has proven to be a powerful method to evaluate RSSI localisation methods. We plan to use it to attack problems like optimal anchor placement, exploiting multiple mobile receivers, and localisation coupled to tracking. One preliminary result is that, when accounting for positioning and RSSI errors in a specific single-room scenario, we needed at least 12 anchors to obtain a third quartile localisation error of less than 150 cm. This suggests that much investigation is needed for single-room RSSI localisation to attain any useful performance.
Keywords :
indoor radio; maximum likelihood estimation; in-room localisation; indoor localisation; maximum likelihood criterion; mobile receivers; received signal strength indicator; third quartile localisation error; Computational modeling; Diffraction; Floors; Mobile communication; Mobile computing; Optical reflection; Position measurement; Ray tracing; Space technology; Transmitters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antennas and Propagation Society International Symposium, 2009. APSURSI '09. IEEE
Conference_Location :
Charleston, SC
ISSN :
1522-3965
Print_ISBN :
978-1-4244-3647-7
Type :
conf
DOI :
10.1109/APS.2009.5172087
Filename :
5172087
Link To Document :
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