GLRT detector based on knowledge aided covariance estimation in compound Gaussian environment
GLRT detector based on knowledge aided covariance estimation in compound Gaussian environment is a scholarly work, published in 2019 in ''Signal Processing''. The main subjects of the publication include Estimation of covariance matrices, clutter, detector, computer science, Gaussian, covariance, statistics, sample variance, covariance matrix, mathematics, synthetic aperture radar, likelihood-ratio test, and algorithm. Experimental results on simulation and real data demonstrate that the proposed detector achieves better performance than the existing one-step GLRT (1S-GLRT) detectors when the secondary data are insufficient.