Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Covariance matrix estimation for CFAR Detection in correlated heavy tailed clutter
Signal Processing - Signal processing with heavy-tailed models
CFAR detection strategies for distributed targets under conic constraints
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
A new parametric GLRT for multichannel adaptive signal detection
IEEE Transactions on Signal Processing
Polarimetric adaptive detection of range-distributed targets
IEEE Transactions on Signal Processing
Fast converging adaptive detection of Doppler-shifted,range-distributed targets
IEEE Transactions on Signal Processing
GLRT-based adaptive detection algorithms for range-spread targets
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Adaptive detection of range distributed targets
IEEE Transactions on Signal Processing
Multiple radar targets detection by exploiting induced amplitude modulation
IEEE Transactions on Signal Processing
Parametric GLRT for Multichannel Adaptive Signal Detection
IEEE Transactions on Signal Processing
Multichannel detection for correlated non-Gaussian random processesbased on innovations
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
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Adaptive detection of range-spread targets without secondary data is addressed in a multichannel autoregressive Gaussian disturbance with unknown space-time covariance matrix, by utilizing the Rao test. The proposed Rao test without secondary data is theoretically proved to be asymptotically (large-sample in the number of temporal observations) constant false alarm rate with respect to unknown space-time covariance matrix, thanks to an asymptotic equivalence between the Rao test and the generalized likelihood ratio test. Moreover, the performance loss due to no secondary data can be remedied by appropriately increasing the temporal dimension. The performance assessment conducted by Monte Carlo simulation, also in comparison with the existing detector without secondary data, confirms the effectiveness of the proposed detectors.