• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Aerospace and Electronic Systems, IEEE Transactions on >A Nonlinear-Phase Model-Based Human Detector for Radar
【24h】

A Nonlinear-Phase Model-Based Human Detector for Radar

机译：基于非线性相位模型的雷达人体检测器

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

Radar offers unique advantages over other sensors for the detection of humans, such as remote operation during virtually all weather and lighting conditions, increased range, and better coverage. Many current radar-based human detection systems employ some type of Fourier analysis, such as Doppler processing. However, in many environments, the signal-to-noise ratio (SNR) of human returns is quite low. Furthermore, Fourier-based techniques assume a linear variation in target phase over the aperture, whereas human targets have a highly nonlinear phase history. The resulting phase mismatch causes significant SNR loss in the detector itself. In this paper, human target modeling is used to derive a more accurate nonlinear approximation to the true target phase history. The likelihood ratio is optimized over unknown model parameters to enhance detection performance. Cramer-Rao bounds on parameter estimates and receiver operating characteristic curves are used to validate analytically the performance of the proposed method and to evaluate simulation results.
机译：雷达具有比其他传感器更独特的优势，可检测人类，例如几乎在所有天气和光照条件下均可进行远程操作，扩大范围并具有更好的覆盖范围。当前许多基于雷达的人体检测系统都采用某种类型的傅里叶分析，例如多普勒处理。但是，在许多环境中，人体回波的信噪比（SNR）相当低。此外，基于傅立叶的技术假设目标相位在光圈上呈线性变化，而人类目标则具有高度非线性的相位历史。导致的相位失配会导致检测器本身的信噪比大幅下降。在本文中，人类目标建模用于导出对真实目标相位历史的更精确的非线性近似。针对未知模型参数优化似然比，以提高检测性能。参数估计和接收器工作特性曲线的Cramer-Rao边界用于分析地验证所提出方法的性能并评估仿真结果。

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