Switching Extended Kalman Filter Bank for Indoor Localization Using Wireless Sensor Networks
Switching Extended Kalman Filter Bank for Indoor Localization Using Wireless Sensor Networks
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English
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This paper presents a new filtering algorithm, switching extended Kalman filter bank (SEKFB), for indoor localization using wireless sensor networks. SEKFB overcomes the problem of uncertain process-noise covariance that arises when using the constant-velocity motion model for indoor localization. In the SEKFB algorithm, several extended Kalman fil...
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Switching Extended Kalman Filter Bank for Indoor Localization Using Wireless Sensor Networks
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TN_cdi_crossref_primary_10_3390_electronics10060718
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_3390_electronics10060718
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2079-9292
E-ISSN
2079-9292
DOI
10.3390/electronics10060718