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DRONE DETECTION AND CLASSIFICATION WITH COMPENSATION FOR BACKGROUND CLUTTER SOURCES

机译:背景杂波源的带补偿的无人机检测和分类

摘要

A system, method, and apparatus for detecting drones are disclosed. An example method includes receiving a digital sound sample and partitioning the digital sound sample into segments. The method also includes applying a frequency and power spectral density transformation to each of the segments to produce respective sample vectors. For each of the sample vectors, the example method determines a combination of drone sound signatures and background sound signatures that most closely match the sample vector. The method further includes determining, for the sample vectors, if the drone sound signatures in relation to the background sound signatures that are included within the respective combinations are indicative of a drone. Conditioned on determining that the drone sound signatures are indicative of a drone, an alert message indicative of the drone is transmitted.
机译:公开了一种用于检测无人机的系统,方法和装置。一种示例方法包括接收数字声音样本并将该数字声音样本划分为多个段。该方法还包括将频率和功率谱密度变换应用于每个片段以产生相应的样本矢量。对于每个样本矢量,示例方法确定最接近样本矢量的无人机声音特征和背景声音特征的组合。该方法还包括针对样本矢量确定相对于包括在各个组合内的背景声音签名的无人机声音签名是否指示无人机。在确定无人机声音签名指示无人机的条件下,发送指示无人机的警报消息。

著录项

  • 公开/公告号WO2017139001A3

    专利类型

  • 公开/公告日2017-09-21

    原文格式PDF

  • 申请/专利权人 DRONESHIELD LLC;

    申请/专利号WO2016US63491

  • 发明设计人 FRANKLIN JOHN;HEARING BRIAN;

    申请日2016-11-23

  • 分类号G01S3/80;G01S5/18;

  • 国家 WO

  • 入库时间 2022-08-21 13:30:04

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