首页> 外文会议>2017 Radioelectronic Systems Conference >Acoustic direction finding using multi-dimensional Fourier transform
【24h】

Acoustic direction finding using multi-dimensional Fourier transform

机译:使用多维傅立叶变换的声学方向寻找

获取原文
获取原文并翻译 | 示例

摘要

In this paper we present a Acoustic Direction Finding (ADF) method that employs multi-dimensional Fourier transform to find both, azimuth and elevation angle of a source that generates sound wave. The proposed solution is basically a three-dimensional extension of the well known two-dimensional DFT-based algorithm where elevation angle is computed for only one hemisphere. There is a number of applications where it is enough but here we mean a device that is to be used for finding small objects (drones) that can fly above as well as beneath the point of installation of the device. Therefore the elevation must be determined correctly for the whole sphere. The results of computer simulations have been presented to show the ability of the proposed algorithm to solve the problem of simultaneous estimation of DOA of acoustic wave for a number of sources in a whole sphere. The advantages and disadvantages of the proposed solution were pointed out, as well as possible and necessary improvements.
机译:在本文中,我们提出了一种声学方向查找(ADF)方法,该方法采用多维傅立叶变换来查找生成声波的声源的方位角和仰角。所提出的解决方案基本上是众所周知的基于DFT的二维算法的三维扩展,其中仅针对一个半球计算仰角。有许多应用程序就足够了,但是在这里我们指的是一种设备,该设备用于查找可以在设备安装点的上方和下方飞行的小物体(无人机)。因此,必须正确确定整个球体的高程。给出了计算机仿真的结果,以表明所提出的算法解决了同时估计整个球体中多个声源的DOA问题的能力。指出了所提出的解决方案的优点和缺点,以及可能和必要的改进。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号