首页> 外文会议>Conference on Signal and Data Processing of Small Targets 2002, Apr 2-4, 2002, Orlando, USA >Modeling of Aliasing Effects for Point Target Detection in Undersampled IR Imaging Systems
【24h】

Modeling of Aliasing Effects for Point Target Detection in Undersampled IR Imaging Systems

机译:欠采样红外成像系统中点目标检测的混叠效应建模

获取原文
获取原文并翻译 | 示例

摘要

This paper presents a Fourier transform model of the aliasing effects caused by two-dimensional sensor undersampling. The SNR probability distribution at the sensor output is numerically generated and compared with simulation results. This distribution is needed for estimating the track score gain when SNR is used as a track feature. Modeling of aliasing makes it possible to calculate the sensor mean signal to noise ratio (SNR), the sensor radiometric measurement precision (RMP) and the sensor position measurement precision (PMP) without the use of Monte Carlo simulations. An example of a sensor design trade is presented in which the detector size is maximized with respect to ROC performance.
机译:本文提出了由二维传感器欠采样引起的混叠效应的傅立叶变换模型。传感器输出处的SNR概率分布将通过数值生成,并与仿真结果进行比较。当将SNR用作轨道特征时,此分布对于估计轨道得分增益是必需的。混叠建模可以在不使用蒙特卡罗模拟的情况下计算传感器平均信噪比(SNR),传感器辐射度测量精度(RMP)和传感器位置测量精度(PMP)。提出了一个传感器设计交易的示例,其中相对于ROC性能,检测器尺寸已最大化。

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