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Cited by 206 publications
(108 citation statements)
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“…It uses radio frequency identification devises (RFID) to collect material information, and transmits information to the data service center through the network. It also integrates the material information on the map displayed by GIS system to achieve the visibility control of material [7][8].…”
Section: State Of the Artmentioning
confidence: 99%
“…It uses radio frequency identification devises (RFID) to collect material information, and transmits information to the data service center through the network. It also integrates the material information on the map displayed by GIS system to achieve the visibility control of material [7][8].…”
Section: State Of the Artmentioning
confidence: 99%
“…[15] conducted a simulation-based study with WiFi-based tracking system using 'particle filter' and from the simulated experimental results, they established that incorporating single-hidden layer feed-forward networks (SLFNs) in measurement likelihood model has positive contributions in improving positioning estimation. [16] in their simulationbased study of the positioning with 'particle filter' and UWB radio beacons established the fact that when 'particle filter' fails that failure can be detected by computing the Mahalanobis distance between the sensor observation and the filtered sensor observation, and thereby certainty of the state estimation by the filter can be computed assuming that the sensor noise that leads to this wrong estimation is normally distributed. Thus, the square of 'Mahalanobis' distance between real observation and estimated observation shall follow a 'Chi-Square' distribution.…”
Section: Introductionmentioning
confidence: 99%
“…Thus, the Kalman filter tends to accumulate filtering errors as time goes by and can even show divergence phenomenon for temporary modeling uncertainties and round-off errors [10]- [13]. This inherent property of the Kalman filter has been shown in sensor application areas [14], [15]. In addition, long past measurements are not useful for fault detection with unknown occurrence times.…”
Section: Introductionmentioning
confidence: 99%