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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Optimal sensor configuration in remote image formation


    Contributors:
    Sharif, B. (author) / Kamalabadi, F. (author)


    Publication date :

    2005-01-01


    Size :

    148116 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Optimal Sensor Configuration in Remote Image Formation

    Sharif, B. / Kamalabadi, F. | British Library Conference Proceedings | 2005


    Robust optimal sensor configuration for modal sensing

    Feng Wang, / Daokui Li, / Guojin Tang, | IEEE | 2006


    Method and apparatus for remote configuration of sensor data collection

    STAMATAKIS JULIEN G | European Patent Office | 2024

    Free access

    System, method and apparatus for remote wireless sensor device configuration

    STAMATAKIS JULIEN G | European Patent Office | 2023

    Free access

    Optimal sensor selection and configuration, case study spark ignited engine

    Suard,R. / Onder,C.H. / Guzzella,L. et al. | Automotive engineering | 2008