Subspace Selection for Quadratic Detector of Random Signals in Unknown Correlated Clutter

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概要

• 論文の詳細を見る

• The Letter deals with constant false alarm rate (CFAR) detection of random Gaussian target signals embedded in Gaussian clutter with unknown covariance. The proposed detector is analyzed on the assumption that clutter covariance is not known and a random target signal has low-rank property. The low-dimensional subspace-based approach leads to a robust false alarm rate (RFAR) detector. The detection performance loss and the false alarm stability loss to unknown clutter covariance have been evaluated for example scenario.

• （社）電子情報通信学会の論文
• 2008-11-01

著者

• GOLIKOV Victor

  UNACAR

• Lebedeva Olga

  Unacar Camp. Mex

• Lebedeva Olga

  Universidad Autonoma Del Carmen

• Golikov Victor

  Unacar Camp. Mex

• Golikov Victor

  Universidad Autonoma Del Carmen

関連論文

• A Robust Detection in the Case of Strong Narrowband Jammer with Unknown Nonstationary Power
• A Robust Detection in the Presence of Clutter and Jammer Signals with Unknown Powers
• Performance of the Matched Subspace Detector in the Case of Subpixel Targets
• Subspace Selection for Quadratic Detector of Random Signals in Unknown Correlated Clutter
• Asymptotically Optimum Quadratic Detection in the Case of Subpixel Targets
• Asymptotically Optimum Quadratic Detection in the Case of Subpixel Targets

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