Recent advances in adaptive radar detection
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[1] Yacine Chitour,et al. Shrinkage covariance matrix estimator applied to STAP detection , 2014, 2014 IEEE Workshop on Statistical Signal Processing (SSP).
[2] S. Kay. Fundamentals of statistical signal processing: estimation theory , 1993 .
[3] V. Yohai,et al. Robust Statistics: Theory and Methods , 2006 .
[4] K. J. Sangston,et al. Structures for radar detection in compound Gaussian clutter , 1999 .
[5] Olivier Ledoit,et al. A well-conditioned estimator for large-dimensional covariance matrices , 2004 .
[6] Yacine Chitour,et al. Generalized Robust Shrinkage Estimator and Its Application to STAP Detection Problem , 2013, IEEE Transactions on Signal Processing.
[7] Alfred O. Hero,et al. Robust Shrinkage Estimation of High-Dimensional Covariance Matrices , 2010, IEEE Transactions on Signal Processing.
[8] Fulvio Gini,et al. Covariance matrix estimation for CFAR detection in correlated heavy tailed clutter , 2002, Signal Process..
[9] A. Öztürk,et al. Non-Gaussian random vector identification using spherically invariant random processes , 1993 .
[10] E. Ollila,et al. Influence functions for array covariance matrix estimators , 2004, IEEE Workshop on Statistical Signal Processing, 2003.
[11] Karl Gerlach,et al. Results on the Detection of Signals in Spherically Invariant Random Noise , 1989 .
[12] Ami Wiesel,et al. Geodesic Convexity and Covariance Estimation , 2012, IEEE Transactions on Signal Processing.
[13] Louis L. Scharf,et al. The CFAR adaptive subspace detector is a scale-invariant GLRT , 1999, IEEE Trans. Signal Process..
[14] Joana Frontera-Pons,et al. False-alarm regulation for target detection in hyperspectral imaging , 2013, 2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).
[15] Esa Ollila,et al. Distribution-free detection under complex elliptically symmetric clutter distribution , 2012, 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop (SAM).
[16] Gabriel Vasile,et al. Coherency Matrix Estimation of Heterogeneous Clutter in High-Resolution Polarimetric SAR Images , 2010, IEEE Transactions on Geoscience and Remote Sensing.
[17] Sze Kim Pang,et al. Robust detection using the SIRV background modelling for hyperspectral imaging , 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.
[18] Philippe Forster,et al. Theoretical analysis of an improved covariance matrix estimator in non-Gaussian noise [radar detection applications] , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..
[19] A. Farina,et al. Radar detection in coherent Weibull clutter , 1987, IEEE Trans. Acoust. Speech Signal Process..
[20] Dimitris Manolakis,et al. Non Gaussian models for hyperspectral algorithm design and assessment , 2002, IEEE International Geoscience and Remote Sensing Symposium.
[21] Christ D. Richmond. PDF's, confidence regions, and relevant statistics for a class of sample covariance-based array processors , 1996, IEEE Trans. Signal Process..
[22] P. J. Huber. Robust Estimation of a Location Parameter , 1964 .
[23] R. Maronna. Robust $M$-Estimators of Multivariate Location and Scatter , 1976 .
[24] A. Farina,et al. Selected list of references on radar signal processing , 2001 .
[25] K. Ward. Compound representation of high resolution sea clutter , 1980 .
[26] Ami Wiesel,et al. Unified Framework to Regularized Covariance Estimation in Scaled Gaussian Models , 2012, IEEE Transactions on Signal Processing.
[27] Olivier Besson,et al. Invariance properties of the likelihood ratio for covariance matrix estimation in some complex elliptically contoured distributions , 2014, J. Multivar. Anal..
[28] Gary A. Shaw,et al. Hyperspectral Image Processing for Automatic Target Detection Applications , 2003 .
[29] Ami Wiesel,et al. Convexity of the Maximum Likelihood Estimator for the Multivariate Generalized Gaussian Distribution , 2013 .
[30] Matthew R. McKay,et al. Large dimensional analysis and optimization of robust shrinkage covariance matrix estimators , 2014, J. Multivar. Anal..
[31] David E. Tyler. A Distribution-Free $M$-Estimator of Multivariate Scatter , 1987 .
[32] Jocelyn Chanussot,et al. A class of robust estimates for detection in hyperspectral images using elliptical distributions background , 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.
[33] Yun Yang,et al. A CFAR Adaptive Subspace Detector for First-Order or Second-Order Gaussian Signals Based on a Single Observation , 2011, IEEE Transactions on Signal Processing.
[34] Simon Watts,et al. Radar detection prediction in sea clutter using the compound K-distribution model , 1985 .
[35] Visa Koivunen,et al. Complex Elliptically Symmetric Random Variables—Generation, Characterization, and Circularity Tests , 2011, IEEE Transactions on Signal Processing.
[36] Philippe Forster,et al. Covariance Structure Maximum-Likelihood Estimates in Compound Gaussian Noise: Existence and Algorithm Analysis , 2008, IEEE Transactions on Signal Processing.
[37] P.R. Chakravarthi,et al. On determining the radar threshold for non-Gaussian processes from experimental data , 1996, IEEE Trans. Inf. Theory.
[38] S. Watts,et al. Radar Detection Prediction in K-Distributed Sea Clutter and Thermal Noise , 1987, IEEE Transactions on Aerospace and Electronic Systems.
[39] Philippe Forster,et al. Constant false alarm rate detection in Spherically Invariant Random Processes , 2004, 2004 12th European Signal Processing Conference.
[40] Jocelyn Chanussot,et al. Robust detection using M-estimators for hyperspectral imaging , 2012, 2012 4th Workshop on Hyperspectral Image and Signal Processing (WHISPERS).
[41] Louis L. Scharf,et al. Adaptive subspace detectors , 2001, IEEE Trans. Signal Process..
[42] Marco Lops,et al. Asymptotically optimum radar detection in compound-Gaussian clutter , 1995 .
[43] Peter Bajorski,et al. Wiley Series in Probability and Statistics , 2010 .
[44] Jean-Yves Tourneret,et al. Parameter Estimation For Multivariate Generalized Gaussian Distributions , 2013, IEEE Transactions on Signal Processing.
[45] E. J. Kelly. An Adaptive Detection Algorithm , 1986, IEEE Transactions on Aerospace and Electronic Systems.
[46] Xiuyuan Cheng,et al. Marchenko-Pastur Law for Tyler's and Maronna's M-estimators , 2014 .
[47] Alexandre Renaux,et al. Statistical analysis of the covariance matrix MLE in K-distributed clutter , 2010, Signal Process..
[48] H. Vincent Poor,et al. Complex Elliptically Symmetric Distributions: Survey, New Results and Applications , 2012, IEEE Transactions on Signal Processing.