Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
A fast CFAR detection space-time adaptive processing algorithm
IEEE Transactions on Signal Processing
Robust Gaussian and non-Gaussian matched subspace detection
IEEE Transactions on Signal Processing
Subspace-based adaptive generalized likelihood ratio detection
IEEE Transactions on Signal Processing
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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.