Electronics Optics & Control, Volume. 27, Issue 9, 50(2020)
A Probabilistic Search Decision-Making Framework Based on Bayesian Method
Aiming at the spatial-temporal search problem of how to find the missing target quicklya recursive Bayesian method based search decision-making framework and an adaptive search strategy are proposed.In the decision-making frameworkthe upper limit of the searchers speedthe possibilities of false alarm detection and missed detection of the sensor are taken into considerationand the expression of the confidence function evolution under the decision framework is theoretically derivedbased on which an effective search theory is proposed.Since the impact of different strategies on decision-making can be studied and compared under this decision-making frameworkit provides an effective platform for comparison and analysis of different strategies.Finallythe effectiveness and practicability of the decision framework and proposed strategy are verified by a large number of numerical simulations.
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YU Liang, LIU Yongchun, LIN Da. A Probabilistic Search Decision-Making Framework Based on Bayesian Method[J]. Electronics Optics & Control, 2020, 27(9): 50
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Received: Aug. 12, 2019
Accepted: --
Published Online: Dec. 25, 2020
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