In this letter, the generalized likelihood ratio test (GLRT) is used for the detection of multidimensional Gaussian complex signals with unknown spatial ...
Abstract—In this letter, the generalized likelihood ratio test. (GLRT) is used for the detection of multidimensional Gaussian complex signals with unknown ...
Mar 25, 2015 · Detection curves are constructed for all considered cases on the basis of obtained thresholds. The obtained results are valid for short samples ...
In particular, the simulation results highlight that the performance loss due to adaptively estimating the texture is negligible, and that the loss due to ...
Different from previous works, we investigate the impact of the observations' spatial statistical dependence on the performance of a source detection ...
The numerical examples validate the effectiveness of the proposed detectors. Detection of a rank-one signal with limited training data. 2021, Signal Processing.
Missing: small observations.
In fact, for Gaussian random vectors the GC and the GLRT result in the same detector, which is given by the Hadamard ratio of the estimated covariance matrix, ...
Jun 10, 2021 · A generalized likelihood ratio test (GLRT) is derived for adaptive detection of range and Doppler-distributed targets.
Detection of signals by information theoretic criteria · The performance of the GLRT for the spatial signals detection with a small number of observations.
Subspace generalized likelihood ratio test (GLRT) detectors have been shown to yield strong performance gains over full data space detectors (e.g. [1] and [2]).