DocumentCode :
3548069
Title :
Spatial Aware Signal Space Clustering algorithm for optimal calibration point locations in location fingerprinting
Author :
Sapumohotti, Chamal ; Alias, Mohamad Yusoff ; Tan Su Wei
Author_Institution :
Fac. of Eng., Multimedia Univ., Cyberjaya, Malaysia
fYear :
2013
fDate :
29-31 Aug. 2013
Firstpage :
661
Lastpage :
665
Abstract :
Location fingerprinting provides localization for devices in indoor environments using existing Wireless Local Area Network (WLAN) infrastructure. However, the initial offline calibration which is required for these types of systems is non-trivial and requires significant labour cost. The current practice is to collect measurements at calibration points in a uniform grid for the area which is covered by the radio map. However, not all calibration points are resolvable in signal space and addition of unresolvable calibration points does not improve the localization accuracy. This paper presents Spatial Aware Signal Space Clustering (S3C) clustering algorithm which analyses walk test data for identifying these unresolvable calibration points prior to calibration phase. Simulation based studies shows that the algorithm is able to reduce the labour cost of calibration phase while preserving the localization accuracy.
Keywords :
calibration; indoor communication; pattern clustering; wireless LAN; S3C clustering algorithm; WLAN infrastructure; calibration phase; indoor environments; initial offline calibration; labour cost; localization accuracy; location fingerprinting; radio map; spatial aware signal space clustering; unresolvable calibration points; walk test data; wireless local area network infrastructure; Accuracy; Calibration; Clustering algorithms; Conferences; Fingerprint recognition; Loss measurement; Wireless LAN; Location fingerprinting; clustering; reducing calibration points; signal space separation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (APCC), 2013 19th Asia-Pacific Conference on
Conference_Location :
Denpasar
Print_ISBN :
978-1-4673-6048-7
Type :
conf
DOI :
10.1109/APCC.2013.6766032
Filename :
6766032
Link To Document :
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