B. Figure, Ambiguity functions (MF output) for a family of FDMA waveforms

K. David and . Barton, Radar system analysis and modeling, 2004.

F. E. Nathanson, J. P. Reilly, and M. N. Cohen, Radar design principles, 1969.

L. Harry and . Van-trees, Classical detection and estimation theory In Detection, estimation, and modulation theory, pp.19-165, 2004.

M. Lesturgie, Some relevant applications of MIMO to radar, Radar Symposium (IRS), 2011 Proceedings International, pp.714-721, 2011.

J. Dorey and G. Garnier, RIAS, synthetic impulse and antenna radar, ONDE ELECTRIQUE, vol.69, issue.6, pp.36-44, 1989.

A. Luce, H. Molina, D. Muller, and V. Thirard, Experimental results on RIAS digital beamforming radar, Radar 92. International Conference, pp.74-77, 1992.

C. Baixiao, Z. Shouhong, W. Yajun, and W. , Analysis and experimental results on sparse-array synthetic impulse and aperture radar, Radar CIE International Conference on, Proceedings, pp.76-80, 2001.

E. Fishler, A. Haimovich, R. Blum, D. Chizhik, L. Cimini et al., 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

E. Fishler, A. Haimovich, R. S. Blum, J. Leonard, D. Cimini et al., Spatial Diversity in Radars—Models and Detection Performance, IEEE Transactions on Signal Processing, vol.54, issue.3, pp.823-838, 2006.
DOI : 10.1109/TSP.2005.862813

D. Bliss and K. Forsythe, Multiple-input multiple-output (MIMO) radar and imaging: degrees of freedom and resolution, The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003, pp.54-59, 2003.
DOI : 10.1109/ACSSC.2003.1291865

J. Daniel, P. Rabideau, and . Parker, Ubiquitous MIMO multifunction digital array radar, Signals, Systems and Computers Conference Record of the Thirty-Seventh Asilomar Conference on, pp.1057-1064, 2003.

W. Keith, . Forsythe, W. Daniel, and . Bliss, MIMO radar: Concepts, performance enhancements, and applications, MIMO Radar Signal Processing, pp.65-121, 2009.

C. Chen, P. Palghat, and . 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

F. Vito, D. Mecca, . Ramakrishnan, L. Jeffrey, and . Krolik, MIMO radar spacetime adaptive processing for multipath clutter mitigation, Sensor Array and Multichannel Processing, pp.249-253, 2006.

J. Li, P. Stoica, L. Xu, and W. Roberts, On parameter identifiability of MIMO radar, Signal Processing Letters IEEE, vol.14, issue.12, pp.968-971, 2007.

R. Daniel, G. S. Fuhrmann, and . Antonio, Transmit beamforming for MIMO radar systems using partial signal correlation, Signals, Systems and Computers Conference Record of the Thirty-Eighth Asilomar Conference on, pp.295-299, 2004.

P. Stoica, J. Li, and Y. Xie, On Probing Signal Design For MIMO Radar, IEEE Transactions on Signal Processing, vol.55, issue.8, pp.4151-4161, 2007.
DOI : 10.1109/TSP.2007.894398

B. Boudamouz, C. Millot, and . Pichot, Through the Wall Radar Imaging with MIMO beamforming processing - Simulation and Experimental Results, American Journal of Remote Sensing, vol.1, issue.1, pp.7-12, 2013.
DOI : 10.11648/j.ajrs.20130101.12

J. Klare, O. Saalmann, and . Mira-cle-x, A new imaging MIMO-radar for multi-purpose applications, Radar Conference (EuRAD), 2010 European, pp.129-132, 2010.

J. Li and P. Stoica, MIMO Radar??? Diversity Means Superiority, MIMO Radar Signal Processing, pp.1-64, 2009.
DOI : 10.1002/9780470391488.ch1

M. Lesturgie, Improvement of high-frequency surface waves radar performances by use of multiple-input multiple-output configurations. IET radar, sonar & navigation, pp.49-61, 2009.

P. Mayne and W. , Radar ambiguity analysis, 1967.

G. San-antonio, R. Daniel, . Fuhrmann, C. Frank, and . Robey, MIMO radar ambiguity functions. Selected Topics in Signal Processing, IEEE Journal, vol.1, issue.1, pp.167-177, 2007.

O. Rabaste, L. Savy, M. Cattenoz, and J. Guyvarch, Signal waveforms and range/angle coupling in coherent colocated MIMO radar, 2013 International Conference on Radar, pp.157-162, 2013.
DOI : 10.1109/RADAR.2013.6651977

M. Xue, J. Li, and P. Stoica, MIMO radar waveform design, Waveform design and diversity for advanced radar systems, pp.89-120, 2012.

H. Sun, F. Brigui, and M. Lesturgie, Analysis and comparison of MIMO radar waveforms, 2014 International Radar Conference, 2014.
DOI : 10.1109/RADAR.2014.7060251

URL : https://hal.archives-ouvertes.fr/hal-01104777

R. Barker, Group synchronizing of binary digital systems, Communication theory, pp.273-287, 1953.

D. Tse and P. Viswanath, Fundamentals of wireless communication, 2005.
DOI : 10.1017/CBO9780511807213

R. Gold, Optimal binary sequences for spread spectrum multiplexing (corresp .) Information Theory, IEEE Transactions on, vol.13, issue.4, pp.619-621, 1967.

H. Deng, Polyphase Code Design for Orthogonal Netted Radar Systems, IEEE Transactions on Signal Processing, vol.52, issue.11, pp.3126-3135, 2004.
DOI : 10.1109/TSP.2004.836530

P. Hao-he, J. Stoica, and . Li, Designing Unimodular Sequence Sets With Good Correlations—Including an Application to MIMO Radar, IEEE Transactions on Signal Processing, vol.57, issue.11, pp.4391-4405, 2009.
DOI : 10.1109/TSP.2009.2025108

B. Liu, Z. He, J. Zeng, and B. Liu, Polyphase Orthogonal Code Design for MIMO Radar Systems, 2006 CIE International Conference on Radar, pp.1-4, 2006.
DOI : 10.1109/ICR.2006.343409

A. Hammad, . Khan, J. David, and . Edwards, Doppler problems in orthogonal MIMO radars, Radar, 2006 IEEE Conference on, p.4, 2006.

Y. Yang and R. S. Blum, MIMO radar waveform design based on mutual information and minimum mean-square error estimation. Aerospace and Electronic Systems, IEEE Transactions on, vol.43, issue.1, pp.330-343, 2007.

K. Forsythe and D. Bliss, Waveform Correlation and Optimization Issues for MIMO Radar, Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005., pp.1306-1310, 2005.
DOI : 10.1109/ACSSC.2005.1599974

G. San, A. Daniel, and R. Fuhrmann, Beampattern synthesis for wideband MIMO radar systems, Computational Advances in Multi-Sensor Adaptive Processing 1st IEEE International Workshop on, pp.105-108, 2005.

T. Yardibi, J. Li, P. Stoica, M. Xue, B. Arthur et al., Source localization and sensing: A nonparametric iterative adaptive approach based on weighted least squares. Aerospace and Electronic Systems, IEEE Transactions on, vol.46, issue.1, pp.425-443, 2010.

L. Anitori, A. Maleki, M. Otten, G. Richard, P. Baraniuk et al., Design and Analysis of Compressed Sensing Radar Detectors, IEEE Transactions on Signal Processing, vol.61, issue.4, pp.813-827, 2013.
DOI : 10.1109/TSP.2012.2225057

O. Rabaste and L. Savy, Mismatched filter optimization via quadratic convex programming for radar applications, 2014 International Radar Conference, p.2014
DOI : 10.1109/RADAR.2014.7060333

G. Babur, L. Aubry, and . Chevalier, Space-time codes for active antenna systems: Comparative performance analysis, IET International Radar Conference 2013, 2013.
DOI : 10.1049/cp.2013.0240

D. Massonnet and J. Souyris, From Sar Design to Image Quality, Imaging with synthetic aperture radar, pp.160-162, 2008.
DOI : 10.1201/9781439808139.ch3

J. Capon, High-resolution frequency-wavenumber spectrum analysis, Proceedings of the IEEE, pp.1408-1418, 1969.
DOI : 10.1109/PROC.1969.7278

R. Joseph and . Guerci, Space-time adaptive processing for radar Artech House [45] Jean Jacques Fuchs. The generalized likelihood ratio test and the sparse representations approach, Image and Signal Processing, pp.245-253, 2003.

S. Chen and D. Donoho, Basis pursuit, Signals, Systems and Computers Conference Record of the Twenty-Eighth Asilomar Conference on, pp.41-44, 1994.

G. Stéphane, Z. Mallat, and . Zhang, Matching pursuits with time-frequency dictionaries, Signal Processing IEEE Transactions on, vol.41, issue.12, pp.3397-3415, 1993.

G. Davis, S. Mallat, and Z. Zhang, Adaptive time-frequency approximations with matching pursuits. Wavelets: theory, algorithms, and applications (Taormina, pp.271-293, 1993.
DOI : 10.1016/b978-0-08-052084-1.50018-1

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.36.2830

O. Rabaste, L. Savy, and G. Desodt, Approximate multitarget matched filter for MIMO radar detection via Orthogonal Matching Pursuit, 2014 International Radar Conference, 2014.
DOI : 10.1109/RADAR.2014.7060294

T. Svantesson and A. Ranheim, Mutual coupling effects on the capacity of multielement antenna systems, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221), pp.2485-2488, 2001.
DOI : 10.1109/ICASSP.2001.940505

K. David and . Barton, Modern radar system analysis, 1988.

P. Brouard, . Constancias, . Brun, . Attia, P. Peyret et al., HYCAM: a new S band surface radar testbed, IET International Radar Conference 2013, 2013.
DOI : 10.1049/cp.2013.0225

P. John, . Stralka, M. Richard, J. Thompson, A. Scanlan et al., MISO radar beamforming demonstration, Radar Conference (RADAR), pp.889-894, 2011.

P. Russer, Electromagnetics, microwave circuit and antenna design for communications engineering, 2003.

J. Inder, A. A. Gupta, and . Ksienski, Effect of mutual coupling on the performance of adaptive arrays. Antennas and Propagation, IEEE Transactions on, vol.31, issue.5, pp.785-791, 1983.

&. Publications, @. Communications-publication, S. Mathieu-cattenoz, L. Marcos, and . Savy, Extended Orthogonal Matching Pursuit for Robust Localization in MIMO radar, IEEE Transactions on Aerospace and Electronic Systems. Second review in process

P. @bullet-mathieu-cattenoz, A. Brouard, L. Brun, L. Constancias, and . Savy, Coherent Collocated MIMO Radar: a Study on Real Data, International Radar Symposium, 2013.

L. @bullet-olivier-rabaste, M. Savy, J. Cattenoz, and . Guyvarch, Signal Waveforms and Range/Angle Coupling in Coherent Colocated MIMO Radar, International Conference on Radar, 2013.

@. Mathieu, C. , and S. Marcos, Adaptive Processing for MIMO Radar Realistic Non Perfectly Orthogonal Waveforms, IEEE Radar Conference, 2014.

L. @bullet-mathieu-cattenoz, S. Savy, and . Marcos, Adaptive Processing Methods for MIMO Radar Experimental Signals, International Radar Conference, 2014.

@. Mathieu, C. , and P. Brouard, An Experimental Demonstration of a

P. @bullet-mathieu-cattenoz, A. Brouard, L. Brun, L. Constancias, and . Savy, The HYCAM Collocated MIMO Radar: Practical Experiments and Performance Analysis. SONDRA Workshop, 2013, La Londe-les-Maures (France) Intellectual Property ? Mathieu Cattenoz and Philippe Brouard, 2014.

@. Mathieu, C. , and P. Brouard, Patent submission Procédé numérique d'étalonnage des phases des voies d'émission d'une antenne réseau radar à capacité MIMO". 2015. Pending submission

. Signaux-d-'opportunité, Nous appliquons ensuite l'ensemble de la chaîne de traitement sur les données obtenues, ainsi que la méthode d'étalonnage numérique. Là où l'absence d'étalonnage aurait donné une figure d'interférence chaotique, nous obtenons ici une focalisation correcte de l'énergie (fig. C.7), ce qui permet ainsi d'apporter une preuve de

. Dans-cette-optique, nous définissons deux niveaux de configurations expérimentales : (a)