163 / 2019-12-15 12:53:00
Design of adaptive detectors for FDA-MIMO radar
FDA-MIMO; generalized likelihood ratio test (GLRT); maximum likelihood (ML); monopulse-like refinement
摘要待审
Lan Lan / Xidian University, China
Angela Marino / University of Naples Federico II, Italy
Augusto Aubry / Universita degli studi di Napoli, Italy
Antonio De / University of Naples "Federico II", Italy
Guisheng Liao / Xidian University, China
Jingwei Xu / Xidian University, China
Adaptive target detection in the presence of Gaussian interference considering a frequency diverse array multiple-input multiple-output (FDA-MIMO) radar is investigated. At the design stage, adaptive detectors are devised according to the generalized likelihood ratio test (GLRT) criterion, where the target range is assumed unknown within the radar cell. Hence, the maximum likelihood (ML) estimate of the target range under the \(H_1\) hypothesis is approximated either assuming a discrete grid of the possible values or resorting to a monopulse-like optimization procedure. Numerical results are provided to illustrate the effectiveness of the devised detectors.
重要日期
  • 会议日期

    06月08日

    2020

    06月11日

    2020

  • 01月12日 2020

    初稿截稿日期

  • 04月15日 2020

    提前注册日期

  • 12月31日 2020

    注册截止日期

主办单位
IEEE Signal Processing Society
承办单位
Zhejiang University
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