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Using Simulation for Locating Transmitter in a Multistatic Sensor Network

机译：使用仿真在多静态传感器网络中定位变送器

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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.
机译：多静态传感器网络由具有共享区域覆盖范围的独立发射机（源）和接收机组成。双/多基地传感器在空间系统中的一些重要应用包括空间分离的接收器和发射器卫星的使用，空间雷达和太空出生的双/多基地合成孔径雷达的设计。在此类系统中，单个发射器-接收器对的传感区域由卡西尼椭圆形定义，卡西尼椭圆形是具有独特属性的四次平面曲线族。因此，将传感器放置在多静态环境中的问题对于决策者来说是一个挑战。在这项研究中，考虑到给定的一组接收器位置，我们旨在确定单个发送器的位置，以最大程度地覆盖总面积。为了实现这一点，我们进行了详尽的蒙特卡洛模拟，该模拟测量了给定接收器场中所有可能的发射器位置替代方案所达到的覆盖范围。我们对随机和多边形部署的接收器位置进行了实验，并给出了一些选定示例的结果。我们的工作表明，通过选择合适的变送器位置可以大大提高覆盖范围，而仿真是设计多静态场的有用工具。

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