Linear prediction approaches to compensation of missing measurement in Kalman filtering
Kalrnan filter relies heavily on perfect knowledge of sensor readings, used to compute the minimum mean square error estimate of the system state. However in reality, unavailability of output data might occur due to factors including sensor faults and failures, confined memory spaces of buffer regis...
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University of Leicester
2012
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.551709 |