B. Widrow, Stationary and Nonstationary Learning Characteristics of the LMS Adaptive Filter, Proc. IEEE, vol.64, pp.1151-1162, 1976.

H. L. Van-trees, Detection, Estimation and Modulation Theory, 1971.

L. Scharf and D. W. Lytle, Signal Detection in Gaussian Noise of Unknown Level: an Invariance Application, IEEE Trans.-IT, vol.17, pp.404-411, 1971.

S. Haykin and E. , Array Signal Processing, 1985.

H. L. Van-trees, Optimum Array Processing, Part IV of "Detection, Estimation and Modulation Theory, 2002.

E. J. Kelly, An Adaptive Detection Algorithm, IEEE Trans.-AES, vol.23, issue.1, pp.115-127, 1986.

S. Kraut, L. L. Scharf, and L. T. Mc-whorter, Adaptive Subspace Detectors, IEEE Trans.-SP, vol.49, issue.1, pp.1-16, 2001.

J. G. Proakis, Digital Communications, 1995.

M. Rangaswamy, J. H. Michels, and D. D. Weiner, Multichannel detection for correlated non-Gaussian random processes based on innovations, IEEE Trans.-SP, vol.43, issue.8, pp.1915-1922, 1995.

J. Cardoso, Source Separation Using Higher Order Moments, Proc. IEEE-ICASSP, pp.2109-2112, 1989.

P. M. Djuric, Particle Filtering, IEEE SP Magazine, vol.20, issue.5, pp.19-38, 2003.
URL : https://hal.archives-ouvertes.fr/hal-01437041

J. B. Billingsley, Ground Clutter Measurements for Surface-Sited Radar, MIT, 1993.

S. Watts, Radar detection prediction in sea clutter using the compound K-distribution model, IEE Proceeding, Part. F, vol.132, issue.7, pp.613-620, 1985.

T. Nohara and S. Haykin, Canada East Coast Trials and the K-Distribution, vol.138, issue.2, pp.82-88, 1991.

A. Farina, A. Russo, and F. Scannapieco, Radar detection in coherent Weibull clutter, IEEE Trans. on ASSP, vol.35, issue.6, p.895, 1987.

M. Rupp and R. Frenzel, The Behavior of LMS and NLMS Algorithms with Delayed Coefficient Update in the Presence of Spherically Invariant Processes, IEEE Trans.-SP, vol.42, issue.3, pp.668-672, 1994.

E. Conte and G. Ricci, Performance Prediction in Compound-Gaussian Clutter, IEEE Trans.-AES, vol.30, issue.2, pp.611-616, 1994.

F. Gini, Sub-optimum Coherent Radar Detection in a Mixture of K-distributed and Gaussian Clutter, IEE Proc. Radar, Sonar and Navigation, vol.144, pp.39-48, 1997.

A. Abdi and S. Nader-esfahani, Expected Number of Maxima in the Envelope of a Spherically Invariant Random Process, IEEE Trans.-IT, vol.49, issue.5, pp.1369-1375, 2003.

K. Yao, M. K. Simon, and E. Biglieri, A Unified Theory on Wireless Communication Fading Statistics based on SIRV, Fifth IEEE Workshop on SP Advances in Wireless Communications, 2004.

L. Belkacem, J. L. Vhel, and C. Walter, Capm, Risk and Portfolio Selection in Alpha-stable Markets, Fractals, vol.8, pp.99-115, 2000.
URL : https://hal.archives-ouvertes.fr/inria-00599259

R. Little and D. B. Rubin, Statistical Analysis with Missing Data, 1987.

C. Liu and D. B. Rubin, ML Estimation of the t Distribution Using EM and its Extensions, ECM and ECME, Statistica Sinica, vol.5, pp.19-39, 1995.

M. Rangaswamy, Statistical Analysis of the nonhomogeneity detector for non-Gaussian interference backgrounds, IEEE Trans.-SP, vol.53, issue.6, pp.2101-2111, 2005.

E. Jay, J. Ovarlez, D. Declercq, and P. Duvaut, BORD: Bayesian Optimum Radar Detector, Signal Processing, vol.83, issue.6, pp.1151-1162, 2003.

F. Gini and M. Greco, Covariance Matrix Estimation for CFAR Detection in Correlated Heavy Tailed Clutter, Signal Processing, special section on SP with Heavy Tailed Distributions, vol.82, pp.1847-1859, 2002.

E. Conte, A. De-maio, and G. Ricci, Recursive Estimation of the Covariance Matrix of a Compound-Gaussian Process and its Application to Adaptive CFAR Detection, IEEE Trans.-SP, vol.50, issue.8, pp.1908-1915, 2002.

T. W. Anderson, An Introduction to Multivariate Statistical Analysis, 1984.

F. Pascal, J. Ovarlez, P. Forster, and P. , Constant False Alarm Rate Detection in Spherically Invariant Random Processes, Proc. of the European Signal Processing Conf., Vienna, pp.2143-2146, 2004.
URL : https://hal.archives-ouvertes.fr/hal-02495011

K. Yao, A Representation Theorem and its Applications to Spherically Invariant Random Processes, IEEE Trans.-IT, vol.19, issue.5, pp.600-608, 1973.

M. Rangaswamy, D. D. Weiner, and A. Ozturk, Non-Gaussian vector identification using spherically invariant random processes, IEEE Trans.-AES, vol.29, issue.1, pp.111-124, 1993.

F. Pascal, J. Ovarlez, P. Forster, and P. , On a SIRV-CFAR Detector with radar experimentations in impulsive noise, Proc. of the European Signal Processing Conf, 2006.
URL : https://hal.archives-ouvertes.fr/hal-02495014

A. K. Gupta and D. K. Nagar, Matrix Variate Distributions, 2000.

E. Conte, M. Lops, G. Ricci, and G. , Adaptive matched filter detection in spherically invariant noise, IEEE SP Letters, vol.3, issue.8, pp.248-250, 1996.

S. Bausson, F. Pascal, P. Forster, J. Ovarlez, and P. , First and Second Order Moments of the Normalized Sample Covariance Matrix of Spherically Invariant Random Vectors, IEEE SP Letters, vol.14, issue.6, pp.425-428, 2007.
URL : https://hal.archives-ouvertes.fr/halshs-00158262

F. Pascal, Y. Chitour, J. Ovarlez, P. Forster, and P. , Covariance Structure Maximum Likelihood Estimates in Compound Gaussian Noise : Existence and Algorithm Analysis, IEEE Trans.-SP
URL : https://hal.archives-ouvertes.fr/hal-01816367

F. Pascal, P. Forster, J. Ovarlez, and P. , Theoretical Analysis of an Improved Covariance Matrix Estimator in Non-Gaussian Noise, Proc. IEEE-ICASSP, vol.IV, pp.69-72, 2005.
URL : https://hal.archives-ouvertes.fr/halshs-00158387

A. W. Van-der and . Vaart, Asymptotic Statistics, 1998.

, Probabilities, Statistics and Applications : Signal, Image et Networks") with merit, Frédéric Pascal was born in Sallanches, France in 1979. He received the Master's degree, 2003.

F. Palaiseau, He received the Agrégation de physique appliquée degree in 1983 from the Ecole Normale Supérieure de Cachan, the Signal Processing and Information team of the laboratory SATIE (Système et Applications des Technologies de l'Information et de l'Energie), 1960.

. Jean-philippe, he joined the Electromagnetic and Radar Division of the French Aerospace Lab (ONERA), Palaiseau, France, where he is is currently Chief Scientist and member of the Scientific Committee of the ONERA Physics Branch. His current activities of research are centered in the topic of Signal Processing for radar and, Ovarlez was born in Denain, France in 1963. He received jointly the engineering degree from Ecole Supérieure d'Electronique Automatique et Informatique (ESIEA), 1987.

, He received the Agrégation degree in electrical engineering and the Dr.Sci. and Habilitationà diriger les recherches degrees in 1985, 1988, and 1998, respectively, all from the Ecole Normale Supérieure of Cachan