In this paper we present the design of Remote Controlled Mount using Arduino for corner reflector deployments. This system includes the low cost mount designed out of wood polymer composite to withstand the corner reflectors and a remote operated using Arduino for orientation settings. The control feedback is given to the mount by means of stepper motor attached to the mount. The position accuracy is achieved accurately by altering the steps of +/-0.50 which is induced by the stepper motor, which is further controlled through programming.

    Corner reflectors are passive devices used for radiometric calibration of Synthetic Aperture Radars (SAR). In radiometric calibration the quantitative method of calibration is achieved by accurate orientation (azimuth and elevation) of corner reflectors towards the SAR satellites. With the smaller step variation produced by stepper motors, azimuth and elevation of corner reflectors are controlled with +/-10 accuracy without manual orientation error. The mount is very efficient and remotely controlled which can replace the current manual system where lot of physical effort is involved.

    The range for controlling the mount is up to 1 km with the current set up. The system is tested for its real-time responsiveness, reliability, stability and safety when deployed with corner reflectors for the Sentine-1B Synthetic Aperture Radar acquisition over JGI-Global campus. The system is designed and tested to be resistant to weather, temperature and some minor mechanical stresses.


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    Titel :

    The remote controlled mount for corner reflector (CR) deployment


    Beteiligte:
    Gopal, Vishnu T. (Autor:in) / Jaideep, M. (Autor:in) / Tadakod, Akshay J. (Autor:in) / Sahu, Anjali (Autor:in) / Jain, Namana N. (Autor:in) / Nathiya, O. K. (Autor:in) / Garudachar, Raju (Autor:in) / Bavan, Saravana (Herausgeber:in) / Sreenivasa, Rajagopal Madurai (Herausgeber:in)

    Kongress:

    ADVANCED TRENDS IN MECHANICAL AND AEROSPACE ENGINEERING: ATMA-2019 ; 2019 ; Bangalore, India


    Erschienen in:

    Erscheinungsdatum :

    16.02.2021


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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