• 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 >Impact of Sea Clutter Nonstationarity on Disturbance Covariance Matrix Estimation and CFAR Detector Performance
【24h】

Impact of Sea Clutter Nonstationarity on Disturbance Covariance Matrix Estimation and CFAR Detector Performance

机译：海杂波非平稳性对扰动协方差矩阵估计和CFAR检测器性能的影响

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

Adaptive detection of signals embedded in non-Gaussian clutter is an important challenge for radar engineers. We present an analysis of sea clutter nonstationarity with respect to clutter covariance matrix estimation and its impact on the constant false alarm rate (CFAR) property of the normalized adaptive matched filter (NAMF). Three covariance matrix estimators, e.g., the sample covariance matrix (SCM), the normalized sample covariance matrix (NSCM), and the approximate maximum likelihood (AML) estimators, have been investigated. The impact of nonstationarity, which emerges in the statistical analysis of the clutter data, is measured in terms of probability of false alarm and probability of detection. Performance analysis is presented using both simulated data and measured sea clutter data recorded by two different X-band radars, namely, the Fynmeet radar and the IPIX radar.
机译：自适应检测非高斯杂波中嵌入的信号是雷达工程师面临的重要挑战。我们提出了关于杂波协方差矩阵估计的海杂波非平稳性及其对归一化自适应匹配滤波器（NAMF）的恒定误报率（CFAR）属性的影响。已经研究了三个协方差矩阵估计量，例如样本协方差矩阵（SCM），归一化样本协方差矩阵（NSCM）和近似最大似然（AML）估计量。在杂波数据的统计分析中出现的非平稳性影响是根据错误警报的概率和检测的概率来衡量的。使用模拟数据和由两个不同的X波段雷达Fynmeet雷达和IPIX雷达记录的实测海杂波数据进行性能分析。

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