GLRT-Based Adaptive Target Detection in FDA-MIMO Radar

著录项

• 来源
  《IEEE Transactions on Aerospace and Electronic Systems》 |2021年第1期|597-613|共17页
• 作者

  Lan Lan; Marino Angela; Aubry Augusto; De Maio Antonio; Liao Guisheng; Xu Jingwei; Zhang Yuhong;

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• 作者单位

  Xidian Univ Natl Key Lab Radar Signal Proc Xian 710071 Peoples R China;

  Univ Naples Federico II Dept Elect Engn & Informat Technol I-80125 Naples Italy;

  Univ Naples Federico II Dept Elect Engn & Informat Technol I-80125 Naples Italy;

  Univ Naples Federico II Dept Elect Engn & Informat Technol I-80125 Naples Italy;

  Xidian Univ Natl Key Lab Radar Signal Proc Xian 710071 Peoples R China;

  Xidian Univ Natl Key Lab Radar Signal Proc Xian 710071 Peoples R China;

  Xidian Univ Sch Elect Engn Xian 710071 Peoples R China;

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• 收录信息
• 原文格式 PDF
• 正文语种 eng
• 中图分类
• 关键词

  Interference; Maximum likelihood estimation; Receivers; Radar detection; Computer architecture; Object detection; Frequency diverse array multiple-input multiple-output (FDA-MIMO) radar; generalized likelihood ratio test (GLRT); maximum likelihood (ML); Newton-based refinement; semidefinite programming (SDP); trigonometric polynomial functions;

  机译：干扰;最大似然估计;接收器;雷达检测;计算机架构;对象检测;频率各种阵列多输入多输出（FDA-MIMO）雷达;广义似然比测试（GLRT）;最大可能性（ML）;基于牛顿细化;SemideFinite编程（SDP）;三角多项式功能;