Bayesian Quickest Change Detection for Active Sensors
| Autor: | Vineeth Bala Sukumaran |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
060102 archaeology
Computer science Heuristic (computer science) Bayesian probability Real-time computing 06 humanities and the arts computer.software_genre 01 natural sciences Computer Science Applications law.invention 010104 statistics & probability law Modeling and Simulation 0601 history and archaeology False alarm Data mining 0101 mathematics Electrical and Electronic Engineering Radar computer Change detection Efficient energy use |
| Zdroj: | IEEE Communications Letters. 20:2229-2232 |
| ISSN: | 1089-7798 |
| Popis: | We consider the energy efficient quickest change detection problem for active sensors, which use radar, ultrasound, or optical sensing to control the information content in the sequentially collected noisy data. Controlling the extent of information contained in the collected data would lead to a cost or energy expenditure, where the cost would naturally increase as the extent of contained information increases. For such a sensor, our objective is to design control policies that optimally trade off performance metrics, such as detection delay, average cost expended in control, and probability of false alarm. We consider this problem in the setting of Bayesian quickest change detection. We propose two simple heuristic threshold policies, for which the total cost is shown to be close to the optimal through simulations and numerical studies. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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