Determination of optimal sensor configuration is an important issue in many remote imaging modalities such as tomographic and interferometric imaging. In this paper, a statistical optimality criterion is defined and a search is performed over the space of candidate sensor locations to determine the configuration that optimizes the criterion over all candidates. To make the search process computationally feasible, a modified version of a previously proposed sub-optimal backward greedy algorithm is used. Connections of the method to the deterministic backward greedy algorithm for the subset selection problem are presented and a conjecture on the optimality of the proposed method is suggested. Three compelling optimality criteria are introduced and their performance is investigated through numerical experiments for a tomographic imaging scenario. In all cases, it is verified that the chosen configuration by the proposed algorithm performs better than wisely chosen alternatives.
Optimal sensor configuration in remote image formation
2005-01-01
148116 byte
Conference paper
Electronic Resource
English
Optimal Sensor Configuration in Remote Image Formation
British Library Conference Proceedings | 2005
|Robust optimal sensor configuration for modal sensing
IEEE | 2006
|Method and apparatus for remote configuration of sensor data collection
European Patent Office | 2024
|System, method and apparatus for remote wireless sensor device configuration
European Patent Office | 2023
|Optimal sensor selection and configuration, case study spark ignited engine
Automotive engineering | 2008
|