Multistatic sensor networks consist of independent transmitters (sources)and receivers with a shared area coverage. Some important applications of bi/multistatic sensors in space systems include the use of spatially separated receiver and transmitter satellites, design of space radars and spaceborn bi/multistatic synthetic aperture radar. Sensing zone of a single transmitter-receiver couple in such systems is defined by Cassini ovals, a family of quartic plane curves with unique properties. Therefore, the problem of locating sensors in multistatic settings is a challenge for decision-makers. In this study, considering a given set of receiver locations, we aim to determine the location for a single transmitter to maximize the total area covered. To achieve this we carry out exhaustive Monte Carlo simulations which measure the coverage achieved for all possible transmitter location alternatives for a given receiver field. We experiment with both randomly and polygonally deployed receiver locations and present results for a number of selected examples. Our work reveals that the coverage can significantly be improved by selecting appropriate transmitter locations and simulation is a useful tool to design multistatic fields.


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    Title :

    Using Simulation for Locating Transmitter in a Multistatic Sensor Network


    Contributors:


    Publication date :

    2019-06-01


    Size :

    17640240 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English






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