E. Fishler, MIMO radar: an idea whose time has come, Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509), pp.71-78, 2004.
DOI : 10.1109/NRC.2004.1316398
URL : http://pages.stern.nyu.edu/~ef485/papers/paperv6.pdf

I. Bekkerman and J. Tabrikian, Target Detection and Localization Using MIMO Radars and Sonars, IEEE Transactions on Signal Processing, vol.54, issue.10, pp.3873-3883, 2006.
DOI : 10.1109/TSP.2006.879267

C. Chen and P. P. Vaidyanathan, MIMO Radar Space???Time Adaptive Processing Using Prolate Spheroidal Wave Functions, IEEE Transactions on Signal Processing, vol.56, issue.2, pp.623-635, 2008.
DOI : 10.1109/TSP.2007.907917

A. Haimovich, R. Blum, and L. Cimini, MIMO Radar with Widely Separated Antennas, IEEE Signal Processing Magazine, vol.25, issue.1, pp.116-129, 2008.
DOI : 10.1109/MSP.2008.4408448

J. Li and P. Stoica, MIMO Radar with Colocated Antennas, IEEE Signal Processing Magazine, vol.24, issue.5, pp.106-114, 2007.
DOI : 10.1109/MSP.2007.904812

M. Jin, G. Liao, and J. Li, Joint DOD and DOA estimation for bistatic MIMO radar, Signal Process, pp.244-251, 2009.
DOI : 10.1016/j.sigpro.2008.08.003

R. Boyer, Performance Bounds and Angular Resolution Limit for the Moving Colocated MIMO Radar, IEEE Transactions on Signal Processing, vol.59, issue.4, pp.1539-1552, 2011.
DOI : 10.1109/TSP.2010.2100387
URL : https://hal.archives-ouvertes.fr/hal-00575993

M. N. Korso, R. Boyer, A. Renaux, and S. Marcos, Statistical Resolution Limit for Source Localization With Clutter Interference in a MIMO Radar Context, IEEE Transactions on Signal Processing, vol.60, issue.2, pp.987-992, 2012.
DOI : 10.1109/TSP.2011.2174232
URL : https://hal.archives-ouvertes.fr/hal-00771417

M. N. Korso, F. Pascal, and M. Pesavento, On the resolvability of closely spaced targets using a colocated MIMO radar, 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2012.
DOI : 10.1109/ACSSC.2012.6488950
URL : https://hal.archives-ouvertes.fr/hal-00782178

T. Xia, Joint diagonalization based DOD and DOA estimation for bistatic MIMO radar, Signal Process, pp.159-166, 2015.
DOI : 10.1016/j.sigpro.2014.09.010

M. Einemo and H. C. So, Weighted least squares algorithm for target localization in distributed MIMO radar, Signal Process, pp.144-150, 2015.
DOI : 10.1016/j.sigpro.2015.04.004

S. Hong, X. Wan, and H. Ke, Spatial difference smoothing for coherent sources location in MIMO radar, Signal Process, pp.69-83, 2015.
DOI : 10.1016/j.sigpro.2014.09.037

Y. Tang, X. Ma, W. Sheng, and Y. Han, Transmit beamforming for DOA estimation based on Cramer?Rao bound optimization in subarray MIMO radar, Signal Process, pp.42-51, 2014.

J. B. Billingsley, Ground Clutter Measurements for Surface-sited Radar, Massachusetts Institute of Technology, 1993.

F. Gini, M. V. Greco, M. Diani, and L. Verrazzani, Performance analysis of two adaptive radar detectors against non-Gaussian real sea clutter data, IEEE Trans. Aerosp. Electron. Syst, vol.36, issue.4, pp.1429-1439, 2000.

K. Yao, Spherically Invariant Random Processes: Theory and Applications, Communications, Information and Network Security, pp.315-332, 2002.
DOI : 10.1007/978-1-4757-3789-9_16

K. Yao, A representation theorem and its applications to spherically invariant random processes, IEEE Trans. Inf. Theory, vol.19, issue.5, pp.600-608, 1973.

M. Rangaswamy, D. D. Weiner, and A. Ozturk, Non-Gaussian random vector identification using spherically invariant random processes, IEEE Transactions on Aerospace and Electronic Systems, vol.29, issue.1, pp.111-124, 1993.
DOI : 10.1109/7.249117

E. Jakeman and P. N. Pusey, A model for non-Rayleigh sea echo, IEEE Transactions on Antennas and Propagation, vol.24, issue.6, pp.806-814, 1976.
DOI : 10.1109/TAP.1976.1141451

E. Conte and G. Ricci, Performance prediction in compound-Gaussian clutter, IEEE Transactions on Aerospace and Electronic Systems, vol.30, issue.2, pp.611-616, 1994.
DOI : 10.1109/7.272284

F. Gini, Sub-optimum coherent radar detection in a mixture of K-distributed and Gaussian clutter, IEE Proc. ? Radar Sonar Navig, pp.39-48, 1997.
DOI : 10.1049/ip-rsn:19970967

M. Greco, F. Bordoni, and F. Gini, X-Band Sea-Clutter Nonstationarity: Influence of Long Waves, IEEE Journal of Oceanic Engineering, vol.29, issue.2, pp.269-283, 2004.
DOI : 10.1109/JOE.2004.828548

C. Liu and D. B. Rubin, ML estimation of the t distribution using EM and its extensions , ECM and ECME, Stat. Sin, vol.5, pp.19-39, 1995.

F. Pascal, Y. Chitour, J. Ovarlez, and P. Forster, Covariance Structure Maximum-Likelihood Estimates in Compound Gaussian Noise: Existence and Algorithm Analysis, IEEE Transactions on Signal Processing, vol.56, issue.1, pp.34-48, 2008.
DOI : 10.1109/TSP.2007.901652

J. Wang, A. Dogand?i?, and A. Nehorai, Maximum Likelihood Estimation of Compound-Gaussian Clutter and Target Parameters, IEEE Transactions on Signal Processing, vol.54, issue.10, pp.3884-3897, 2006.
DOI : 10.1109/TSP.2006.880209
URL : http://signal.ese.wustl.edu/MURI/publications/01703856.pdf

Y. Chitour and F. Pascal, Exact Maximum Likelihood Estimates for SIRV Covariance Matrix: Existence and Algorithm Analysis, IEEE Transactions on Signal Processing, vol.56, issue.10, pp.4563-4573, 2008.
DOI : 10.1109/TSP.2008.927464
URL : https://hal.archives-ouvertes.fr/hal-00353594

P. Lombardo and C. J. Oliver, Estimation of texture parameters in K-distributed clutter, IEE Proc. ? Radar Sonar Navig, pp.196-204, 1994.
DOI : 10.1049/ip-rsn:19941318

M. Akcakaya and A. Nehorai, Adaptive MIMO Radar Design and Detection in Compound-Gaussian Clutter, IEEE Transactions on Aerospace and Electronic Systems, vol.47, issue.3, pp.2200-2207, 2011.
DOI : 10.1109/TAES.2011.5937292

A. Dogand?i? and A. Nehorai, Generalized multirate analysis of variance, IEEE Signal Processing Magazine, vol.20, issue.5, pp.39-54, 2003.
DOI : 10.1109/MSP.2003.1236771

M. Haardt, M. Pesavento, F. Röemer, and M. N. Korso, Subspace methods and exploitation of special array structures, electronic reference in signal processing: array and statistical signal processing, Academic Press Library in Signal Processing, 2014.

M. Pesavento and A. B. Gershman, Maximum-likelihood direction-of-arrival estimation in the presence of unknown nonuniform noise, IEEE Transactions on Signal Processing, vol.49, issue.7, pp.1310-1324, 2001.
DOI : 10.1109/78.928686

S. A. Vorobyov, A. B. Gershman, and K. M. Wong, Maximum likelihood direction-of-arrival estimation in unknown noise fields using sparse sensor arrays, IEEE Transactions on Signal Processing, vol.53, issue.1, pp.34-43, 2005.
DOI : 10.1109/TSP.2004.838966

X. Zhang, M. N. Korso, and M. Pesavento, MIMO radar performance analysis under K-distributed clutter, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.5287-5291, 2014.
DOI : 10.1109/ICASSP.2014.6854612
URL : https://hal.archives-ouvertes.fr/hal-01060581

S. T. Smith, Statistical resolution limits and the complexified Crame/spl acute/r-Rao bound, IEEE Transactions on Signal Processing, vol.53, issue.5, pp.1597-1609, 2005.
DOI : 10.1109/TSP.2005.845426

M. Shahram and P. Milanfar, On the resolvability of sinusoids with nearby frequencies in the presence of noise, IEEE Transactions on Signal Processing, vol.53, issue.7, pp.2579-2588, 2005.
DOI : 10.1109/TSP.2005.845492

M. N. Korso, R. Boyer, A. Renaux, and S. Marcos, Statistical Resolution Limit for multiple parameters of interest and for multiple signals, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.3602-3605, 2010.
DOI : 10.1109/ICASSP.2010.5495922
URL : https://hal.archives-ouvertes.fr/inria-00445468

H. Cox, Resolving power and sensitivity to mismatch of optimum array processors, The Journal of the Acoustical Society of America, vol.54, issue.3, pp.771-785, 1973.
DOI : 10.1121/1.1913659

M. Shahram and P. Milanfar, Imaging Below the Diffraction Limit: A Statistical Analysis, IEEE Transactions on Image Processing, vol.13, issue.5, pp.677-689, 2004.
DOI : 10.1109/TIP.2004.826096
URL : http://www.cse.ucsc.edu/~milanfar/DiffLimitFinal.pdf

Z. Liu and A. Nehorai, Statistical Angular Resolution Limit for Point Sources, IEEE Transactions on Signal Processing, vol.55, issue.11, pp.5521-5527, 2007.
DOI : 10.1109/TSP.2007.898789

M. N. Korso, R. Boyer, A. Renaux, and S. Marcos, Statistical analysis of achievable resolution limit in the near field source localization context, Signal Process, pp.547-552, 2012.

M. N. Korso, R. Boyer, A. Renaux, and S. Marcos, On the asymptotic resolvability of two point sources in known subspace interference using a GLRT-based framework, Signal Process, pp.2471-2483, 2012.

H. B. Lee, The Cramer-Rao bound on frequency estimates of signals closely spaced in frequency, IEEE Transactions on Signal Processing, vol.40, issue.6, pp.1507-1517, 1992.
DOI : 10.1109/78.139253

M. N. Korso, R. Boyer, A. Renaux, and S. Marcos, Statistical Resolution Limit of the Uniform Linear Cocentered Orthogonal Loop and Dipole Array, IEEE Transactions on Signal Processing, vol.59, issue.1, pp.425-431, 2011.
DOI : 10.1109/TSP.2010.2083657
URL : https://hal.archives-ouvertes.fr/inria-00552061

X. Zhang, M. N. Korso, and M. Pesavento, On the asymptotic resolvability of farfield stochastic sources, Proceedings of EUSIPCO, pp.889-893, 2012.

X. Zhang, M. N. Korso, and M. Pesavento, Angular resolution limit for deterministic correlated sources, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.5539-5543, 2013.
DOI : 10.1109/ICASSP.2013.6638723
URL : http://arxiv.org/pdf/1304.0859.pdf

H. B. Lee, The Cramer-Rao bound on frequency estimates of signals closely spaced in frequency, IEEE Transactions on Signal Processing, vol.40, issue.6, pp.1569-1572, 1994.
DOI : 10.1109/78.139253

E. Dilaveroglu, Nonmatrix Cramer-Rao bound expressions for high-resolution frequency estimators, IEEE Transactions on Signal Processing, vol.46, issue.2, pp.463-474, 1998.
DOI : 10.1109/78.655430

M. Kaveh and A. J. Barabell, The statistical performance of the MUSIC and the minimum-norm algorithms in resolving plane waves in noise, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.34, issue.2, pp.331-341, 1986.
DOI : 10.1109/TASSP.1986.1164815

S. Watts, Radar detection prediction in sea clutter using the compound K-distribution model, IEE Proceedings F Communications, Radar and Signal Processing, vol.132, issue.7, pp.613-620, 1985.
DOI : 10.1049/ip-f-1.1985.0115

T. Nohara and S. Haykin, Canada east coast trials and the K-distribution, Proc. Inst. Electr. Eng. F, vol.138, issue.2, pp.82-88, 1991.
DOI : 10.1049/ip-f-2.1991.0013

K. J. Sangston and K. R. Gerlach, Coherent detection of radar targets in a non-gaussian background, IEEE Transactions on Aerospace and Electronic Systems, vol.30, issue.2, pp.330-340, 1994.
DOI : 10.1109/7.272258

K. L. Lange, R. J. Little, and J. M. Taylor, Robust Statistical Modeling Using the t Distribution, Journal of the American Statistical Association, vol.84, issue.408, pp.881-896, 1989.
DOI : 10.2307/2290063

E. Jay, J. Ovarlez, D. Declercq, and P. Duvaut, Bayesian Optimum Radar Detector in non-Gaussian noise, IEEE International Conference on Acoustics Speech and Signal Processing, pp.1289-1292, 2002.
DOI : 10.1109/ICASSP.2002.5744038

E. Jay, J. Ovarlez, D. Declercq, and P. Duvaut, BORD: Bayesian optimum radar detector, Signal Process, pp.1151-1162, 2003.
DOI : 10.1016/s0165-1684(03)00034-3

Y. Pawitan, In All Likelihood: Statistical Modelling and Inference Using Likelihood

E. Conte, A. D. Maio, and G. Ricci, Recursive estimation of the covariance matrix of a compound-Gaussian process and its application to adaptive CFAR detection, IEEE Transactions on Signal Processing, vol.50, issue.8, pp.1908-1915, 2002.
DOI : 10.1109/TSP.2002.800412

T. W. Anderson, An Introduction to Multivariate Statistical Analysis, 2003.

F. Gini and M. Greco, Covariance matrix estimation for CFAR detection in correlated heavy tailed clutter, Signal Process, pp.1847-1859, 2002.
DOI : 10.1016/s0165-1684(02)00315-8

B. Ottersten, M. Viberg, P. Stoica, and A. Nehorai, Exact and Large Sample Maximum Likelihood Techniques for Parameter Estimation and Detection in Array Processing, Radar Array Processing, pp.99-151, 1993.
DOI : 10.1007/978-3-642-77347-1_4

F. Gini and R. Reggiannini, On the use of Cramer-Rao-like bounds in the presence of random nuisance parameters, IEEE Transactions on Communications, vol.48, issue.12, pp.2120-2126, 2000.
DOI : 10.1109/26.891222

R. W. Miller and C. B. Chang, A modified Cram??r-Rao bound and its applications (Corresp.), IEEE Transactions on Information Theory, vol.24, issue.3, pp.398-400, 1978.
DOI : 10.1109/TIT.1978.1055879

F. Gini, R. Reggiannini, and U. Mengali, The modified Cramer-Rao bound in vector parameter estimation, IEEE Transactions on Communications, vol.46, issue.1, pp.52-60, 1998.
DOI : 10.1109/26.655403

I. Reuven and H. Messer, A Barankin-type lower bound on the estimation error of a hybrid parameter vector, IEEE Transactions on Information Theory, vol.43, issue.3, pp.1084-1093, 1997.
DOI : 10.1109/18.568725

T. Groves and T. Rothenberg, A note on the expected value of an inverse matrix, Biometrika, vol.56, issue.3, pp.690-691, 1969.
DOI : 10.1093/biomet/56.3.690

A. Amar and A. Weiss, Fundamental Limitations on the Resolution of Deterministic Signals, IEEE Transactions on Signal Processing, vol.56, issue.11, pp.5309-5318, 2008.
DOI : 10.1109/TSP.2008.929654

H. L. Trees, Optimum Array Processing: Part IV of Detection, Estimation, and Modulation Theory, 2002.

P. Stoica and A. Nehorai, MUSIC, maximum likelihood, and Cramer-Rao bound, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.37, issue.5, pp.720-741, 1989.
DOI : 10.1109/29.17564

E. L. Lehmann, Theory of Point Estimation, 1983.

S. M. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory, NJ, vol.1, 1993.

M. Viberg, P. Stoica, and B. Ottersten, Maximum likelihood array processing in spatially correlated noise fields using parameterized signals, IEEE Transactions on Signal Processing, vol.45, issue.4, pp.996-1004, 1997.
DOI : 10.1109/78.564187

P. Stoica and P. Babu, The Gaussian Data Assumption Leads to the Largest Cram??r-Rao Bound [Lecture Notes], IEEE Signal Processing Magazine, vol.28, issue.3, pp.132-133, 2011.
DOI : 10.1109/MSP.2011.940411

K. Petersen and M. Pedersen, The Matrix Cookbook