【24h】

Fast target classification using sonar

机译:使用声纳快速分类目标

获取原文

摘要

This paper describes a new sonar system that can perform target localisation in two dimensions and classification into planes, concave corners and convex edges with no extra time overhead, that is, the sensor transmits on two transmitters a short time apart, thereby collecting echoes in virtually the same time as a single transmitter of the system. Moreover, the time separation of the transmitted pulses acts to identify the particular sonar system so that interference from other systems can be rejected. The sensor combines two previous sonar research efforts on double pulse coding and classification in a real time DSP-based sensing module that is also smaller than previous sensors. Since the classification is performed with such a short delay between transmitter firings, the sensor can be deployed on moving platforms to achieve on-the-fly mapping. This paper describes the sonar hardware, maximum likelihood estimation classification approach and experimental results.
机译:本文介绍了一种新的声纳系统,该系统可以在二维上进行目标定位,并且无需额外的时间开销即可分类为平面,凹角和凸边,也就是说,传感器在两个发射器上的发射时间间隔很短,从而实际上收集了回波与系统的单个发射器同时进行。而且,发射脉冲的时间间隔起到识别特定声纳系统的作用,从而可以拒绝来自其他系统的干扰。该传感器在基于DSP的实时传感模块中结合了先前在双脉冲编码和分类方面的两次声纳研究成果,该模块也比以前的传感器小。由于分类是在发射器发射之间如此短的延迟下进行的,因此可以将传感器部署在移动平台上,以实现动态映射。本文介绍了声纳硬件,最大似然估计分类方法和实验结果。

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