• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEEE Transactions on Aerospace and Electronic Systems >Automatic detection and tracking of a small surface watercraft in shallow water using a high-frequency active sonar
【24h】

Automatic detection and tracking of a small surface watercraft in shallow water using a high-frequency active sonar

机译：使用高频有源声纳自动检测和跟踪浅水中的小型水面船只

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

A high-frequency (HF) active sonar can be used to detect and track a small fast surface watercraft in shallow water based on the evolution of the watercraft wake observed in the sonar image sequence. An automatic detection and tracking (ADT) algorithm is described for this novel application. For each ping, the measurement of the target's polar position consists of 2 steps. First, the target bearing is estimated by finding the direction of arrival of the cavitation noise emitted by the watercraft. Then range measurements are extracted from the range profile (constant-angle cut of the sonar image) at the estimated target bearing. Range normalization and clutter map processing are used to reduce the number of false measurements. Estimates of the target's Cartesian position and velocity are updated at the sonar pulse repetition rate using the Kalman filter with debiased consistent converted measurements and nearest neighbour data association. The proposed algorithm is demonstrated using real data.
机译：高频（HF）有源声纳可用于根据声纳图像序列中观察到的船只尾流的演变来检测和跟踪浅水中的小型快速水面船只。针对这种新颖的应用描述了一种自动检测和跟踪（ADT）算法。对于每次ping，目标极位置的测量包括2个步骤。首先，通过找到由船只发出的空化噪声的到达方向来估计目标方位。然后从估计的目标方位处的距离轮廓（声纳图像的恒定角度切割）中提取距离测量值。范围归一化和杂波图处理可减少错误测量的次数。使用卡尔曼滤波器，以无偏差一致的转换后的测量结果和最近邻数据关联，以声纳脉冲重复率更新目标笛卡尔位置和速度的估计值。使用实际数据演示了该算法。

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