DocumentCode :
164027
Title :
Assessing the capacity of man-portable UAVs for network access point localization, using RSSI link data
Author :
Ferreira, S. ; Carvalho, G. ; Ferreira, Flora ; Sousa, J.
Author_Institution :
Fac. of Eng., Univ. of Porto, Porto, Portugal
fYear :
2014
fDate :
27-30 May 2014
Firstpage :
355
Lastpage :
364
Abstract :
Field operations in remote locations or within hazardous scenarios benefit greatly from the ability to deploy general purpose networks that can be accessed not only by operation vehicles but also human participants. The existence of these networks allows the transmission of data vital to operation success that otherwise might not have the means to flow. Knowing how the network is distributed and its coverage is therefore invaluable to determine what are the operational limitations for data dissemination. The use of unmanned aerial vehicles (UAVs) to detect and locate said access points, and then relay that information back to the ground station, allows for the characterization of the network while maintaining the human element in a supervisory and tactical position. In this paper we assess the feasibility of using a UAV to locate network access points, through Received Signal Strength Indication (RSSI) data, relying solely on the on-board communication modem. We explore and present different localization methods, in order to determine a robust approach which can deal with GPS position error and range estimation errors. Moreover we articulate key challenges and lessons learned for real world application.
Keywords :
Global Positioning System; aircraft communication; autonomous aerial vehicles; mobile computing; GPS position error; RSSI link data; access point detection; access point localization; data dissemination; data transmission; field operations; man-portable UAV capacity assessment; network access point localization; on-board communication modem; range estimation errors; received signal strength indication data; remote locations; supervisory position; tactical position; unmanned aerial vehicles; Equations; Estimation; Global Positioning System; Mathematical model; Transmitting antennas; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Unmanned Aircraft Systems (ICUAS), 2014 International Conference on
Conference_Location :
Orlando, FL
Type :
conf
DOI :
10.1109/ICUAS.2014.6842274
Filename :
6842274
Link To Document :
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