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Urban Structures Imaging with Sparse Arrays

机译:稀疏阵列的城市结构成像

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摘要

The Army Research Laboratory (ARL) has been engaged in an effort to support the "See through the Wall" initiative. As part of the effort, we have explored the possibilities and challenges of using data collected by small groups of men-each man equipped with a small, hand-held, Radio Frequency (RF) sensor-to image the interior of buildings. We examine various multi-static combinations of sensors, especially in configurations that allow for imaging a room from different viewing angles, and we demonstrate the capability of these approaches for providing comprehensive information about a building's interior. We examine the consequences of errors in the assumed position of the RF sensors, and we analyze the effects of the degradation of signal coherence due to mistiming. Simulation results are provided to show the potential of this type of sensor arrangement in such a difficult, urban environment.
机译:陆军研究实验室(ARL)一直致力于支持“透视墙”倡议。作为工作的一部分,我们探索了使用由少数几个男人(每个男人都配备有小型手持式射频(RF)传感器)的数据采集建筑物内部图像的可能性和挑战。我们检查了传感器的各种多静态组合,尤其是在允许从不同视角对房间进行成像的配置中,并且我们演示了这些方法提供有关建筑物内部全面信息的能力。我们检查了RF传感器假定位置中的错误后果,并分析了由于雾化引起的信号相干性下降的影响。提供的仿真结果显示了在这种困难的城市环境中这种类型的传感器布置的潜力。

著录项

  • 来源
    《Radio Sensor Technology XII》|2008年|21-22|共11页
  • 会议地点 OrlandoFL(US)
  • 作者

    Roberto Innocenti;

  • 作者单位

    AMSRD-ARL-SE-RU Army Research Laboratory 2800 Powder Mill Road Adelphi, Md 20783;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 TP212;
  • 关键词

    SAR; multi-static; RF;

    机译:SAR;多静态; RF;;
  • 入库时间 2022-08-26 13:45:15

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