首页> 外文会议>International Conference on Intelligent Computing, Communication and Devices >RCS Sequence Period Estimation Method Based on Constant False Alarm Detection
【24h】

RCS Sequence Period Estimation Method Based on Constant False Alarm Detection

机译:基于常数误报检测的RCS序列周期估计方法

获取原文

摘要

1 Introduction In the Radar Cross Section (RCS) sequence of periodic targets [1], there is a unique periodic phenomenon as shown in Fig. 1, which is due to the periodic phenomenon caused by the target roll or the periodic motion of the target component. Although this type of RCS sequence has obvious periodic phenomena, it cannot be extracted by spectrum analysis tools. For this kind of data, this paper proposes a target period discrimination method based on Constant False Alarm Rate (CFAR) detection.
机译:1在雷达横截面(RCS)序列中的周期性靶(RCS)序列中,存在独特的周期性现象,如图1所示。1,这是由于目标卷引起的周期性现象或目标的周期性运动 零件。 虽然这种类型的RCS序列具有明显的周期性现象,但它无法通过频谱分析工具提取。 对于这种数据,本文提出了一种基于常量误报率(CFAR)检测的目标时期辨别方法。

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