Robust adaptive signal processing methods for heterogeneous radar clutter scenarios
Signal Processing - Special section: New trends and findings in antenna array processing for radar
Kernel Spectral Matched Filter for Hyperspectral Imagery
International Journal of Computer Vision
A comparative analysis of kernel subspace target detectors for hyperspectral imagery
EURASIP Journal on Applied Signal Processing
Hybrid Detectors for Subpixel Targets
IEEE Transactions on Pattern Analysis and Machine Intelligence
Adaptive subspace detection of range-distributed target in compound-Gaussian clutter
Digital Signal Processing
The Empirical Likelihood method applied to covariance matrix estimation
Signal Processing
Subspace partitioning for target detection and identification
IEEE Transactions on Signal Processing
CFAR detection strategies for distributed targets under conic constraints
IEEE Transactions on Signal Processing
One-and two-stage tunable receivers
IEEE Transactions on Signal Processing
One-and two-stage tunable receivers
IEEE Transactions on Signal Processing
Adaptive detection and estimation in the presence of useful signal and interference mismatches
IEEE Transactions on Signal Processing
Adaptive threshold estimation via extreme value theory
IEEE Transactions on Signal Processing
Kernel-based spectral matched signal detectors for hyperspectral target detection
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
A new parametric GLRT for multichannel adaptive signal detection
IEEE Transactions on Signal Processing
Adaptive detection in Gaussian interference with unknown covariance after reduction by invariance
IEEE Transactions on Signal Processing
Kernel oblique subspace projection approach for target detection in hyperspectral imagery
AICI'10 Proceedings of the 2010 international conference on Artificial intelligence and computational intelligence: Part I
Parametric adaptive radar detector with enhanced mismatched signals rejection capabilities
EURASIP Journal on Advances in Signal Processing
A Novel Approach for Target Detection and Classification Using Canonical Correlation Analysis
Journal of Signal Processing Systems
Narrowband signal detection techniques in shallow ocean by acoustic vector sensor array
Digital Signal Processing
Hi-index | 35.71 |
We use the theory of generalized likelihood ratio tests (GLRTs) to adapt the matched subspace detectors (MSDs) of Scharf (1991) and of Scharf and Frielander (1994) to unknown noise covariance matrices. In so doing, we produce adaptive MSDs that may be applied to signal detection for radar, sonar, and data communication. We call the resulting detectors adaptive subspace detectors (ASDs). These include Kelly's (1987) GLRT and the adaptive cosine estimator (ACE) of Kaurt and Scharh (see ibid., vol.47, p.2538-41, 1999) and of Scharf and McWhorter (see Proc. 30th Asilomar Conf. Signals, Syst., Comput., Pacific Grove, CA, 1996) for scenarios in which the scaling of the test data may deviate from that of the training data. We then present a unified analysis of the statistical behavior of the entire class of ASDs, obtaining statistically identical decompositions in which each ASD is simply decomposed into the nonadaptive matched filter, the nonadaptive cosine or t-statistic, and three other statistically independent random variables that account for the performance-degrading effects of limited training data