IEE Proceedings - Radar Sonar and Navigation · 2006 · 22 citations · 5 references
Natural SciencesMathematicsDesign OptimizationMarkov Decision ProcessesOptimizationAdaptive ControlOptimal ControlParameter OptimizationRadar Signal ProcessingRadar SystemsSignal Detection TheoryAdaptive Parameter ControlDetection Probability EffectsParameter DesignProbability Of Detection AnalysisProbability Of Detection ModelingRadar TrackingSchedule Planning
An efficient adaptive parameter control scheme for multi-function radar is used here. The scheme has been designed in such a way that it meets constraints on specific quantities that are relevant for target tracking while minimising the energy spent on a target or track. It is shown here that this efficient scheme leads to a considerable variation of the realised detection probability, even within a single scenario. The authors also show that constraining or fixing the probability of detection to a certain predefined value leads to a considerable increase in the energy spent on the target. This holds even when one optimises the fixed probability of detection. The bottom line message is that the detection probability is not a design parameter by itself, but merely the product of an optimal schedule.
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Kalman Filtering With Intermittent Observations
Bruno Sinopoli, Luca Schenato, Massimo Franceschetti et al. · IEEE Transactions on Automatic Control · 2004 · 2.5K citations