, Récepteur à fréquence fixe : mesure les émissions radio à 32 et 34 MHz

, Récepteur à haute fréquence : mesure l'intensité des ondes radio dans la gamme de fréquences de 16 MHz à 40 kHz

F. Récepteur-basse, effectue des mesures des ondes radio et des ondes plasma près de la fréquence du plasma électronique, vol.40

, L'héliosphère est une zone en forme de bulle allongée dans l'espace, engendrée par les vents solaires

C. Annexe, Code MATLAB développé pour l'application du CS time_step=nbs*dt

, load(data.mat

, dat=reshape(data, prod(size(data)), 1)

, %% Application of CS N=1124; % window length SIGNAL=

, B=dftmtx(N)

. Binv=conj,

. A=binv,

, % Matrice dacquisition tic parfor (i=1:length(data)/N) signal=

, de=(i-1)*N+1

, %%Taking DFT of the signal xf=fft(signal)

, XF=

, %%taking random time measurements Measurement=signal(Sq

, %%Running the recovery Algorithm xp= ompdCholSTURM_G(A*A, A*Measurement, comp

, XP=[XP;xp

, %%recovered signal in time domain xprec=real(ifft(xp))

, XPREC=

, % Accuracy fprintf(Accuracy: %f\n,SER

Y. Gargouri, H. Petit, P. Loumeau, B. Cecconi, and P. Desgreys,

, Analog-to-information converter design for low-power acquisition of astrophysical signals

, New Circuits and Systems Conference (NEWCAS), 2017 15th IEEE International, pp.113-116, 2017.

Y. Gargouri, H. Petit, P. Loumeau, B. Cecconi, and P. Desgreys, Compressive sampling for efficient astrophysical signals digitizing : From compressibility study to data recovery, Journal of Astronomical Instrumentation, vol.5, issue.04, p.1641020, 2016.

Y. Gargouri, H. Petit, P. Loumeau, B. Cecconi, and P. Desgreys, Compressed sensing for astrophysical signals, Electronics, Circuits and Systems (ICECS), 2016 IEEE International Conference on, pp.313-316, 2016.

Y. Gargouri, H. Petit, P. Loumeau, B. Cecconi, and P. Desgreys, Echantillonnage comprime pour les signaux astrophysiques, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01358618

L. Patrick, G. Yosra, P. Hervé, C. Baptiste, and P. Desgreys, Compressed sampling for astrophysical processing, Asilomar Conference on Signals, Systems, and Computers, vol.11

Y. Gargouri, Nouvelle architecture de récepteur radio numérique pour les observations astrophysiques spatiales, La Recherche montre en main, vol.11, 2016.

Y. Gargouri, Présentation orale des travaux de recherches dans le Centre national d'Etudes spatiales (CNES) lors des journées, CNES Jeunes Chercheurs, issue.JC2, 2016.

Y. Gargouri, Compressed sensing : an efficient solution to acquire astrophysical signals

Y. Gargouri, H. Petit, P. Loumeau, B. Cecconi, and P. Desgreys, Flexibe non-uniform sampler based on compressed sensing for astrophysiqual signals' acquisition. Analog Integrated Circuits and Signal Processing, 2018.

B. Aziz, S. Traore, and . Daniel-le-guennec, Non-uniform spectrum sensing for cognitive radio using sub-nyquist sampling, Signal Processing Conference (EUSIPCO), 2013 Proceedings of the 21st European, pp.1-5
URL : https://hal.archives-ouvertes.fr/hal-00868159

, IEEE, 2013.

E. David, L. Bellasi, C. Bettini, T. Benkeser, Q. Burger et al., Vlsi design of a monolithic compressivesensing wideband analog-to-information converter, Journal of Geophysical Research : Space Physics, vol.3, issue.4, pp.1062-1070, 2011.

J. Bae, J. Kim, and H. Yoo, A 0.6 pj/b 3gb/s/ch transceiver in 0.18 µm cmos for 10mm on-chip interconnects, IEEE International Symposium on, pp.2861-2864, 2008.
URL : https://hal.archives-ouvertes.fr/hal-01645700

, Adel Ghazel, Patricia Desgreys et Patrick Loumeau : Pseudorandomly controlled adc characterization towards multistandard receiver, Systems, Signals and Devices, 2009. SSD'09. 6th International Multi-Conference on, pp.1-6, 2009.

J. Emmanuel and . Candès, The restricted isometry property and its implications for compressed sensing, Comptes Rendus Mathematique, vol.346, issue.9, pp.589-592, 2008.

E. Candes, Compressive Sensing -A 25 Minute Tour, 2010.

E. Candes and S. Becker, Compressive sensing : Principles and hardware implementations, ESSCIRC (ESSCIRC), 2013 Proceedings of the, pp.22-23, 2013.

. Scott-shaobing-chen, L. David, . Donoho, A. Michael, and . Saunders, Atomic decomposition by basis pursuit. SIAM review, vol.43, pp.129-159, 2001.

E. Rafael, J. D. Carrillo, Y. Mcewen, and . Wiaux, Why clean when you can purify a new approach for next-generation radio-interferometric imaging, 2015.

J. Emmanuel, Y. Candes, and . Plan, A probabilistic and ripless theory of compressed sensing. Information Theory, IEEE Transactions on, vol.57, issue.11, pp.7235-7254, 2011.

E. Candes and J. Romberg, Sparsity and incoherence in compressive sampling. Inverse problems, vol.23, p.969, 2007.

E. Candes and J. Romberg, Sparsity and incoherence in compressive sampling. Inverse problems, vol.23, p.969, 2007.

J. Emmanuel, J. K. Candes, T. Romberg, and . Tao, Stable signal recovery from incomplete and inaccurate measurements, Communications on pure and applied mathematics, vol.59, issue.8, pp.1207-1223, 2006.

J. Emmanuel, J. K. Candes, T. Romberg, and . Tao, Stable signal recovery from incomplete and inaccurate measurements, Communications on pure and applied mathematics, vol.59, issue.8, pp.1207-1223, 2006.

J. Emmanuel, . Candès, and . Michael-b-wakin, An introduction to compressive sampling, Signal Processing Magazine, vol.25, issue.2, pp.21-30, 2008.

A. Mark, . Davenport, F. Marco, Y. C. Duarte, G. Eldar et al., Introduction to compressed sensing, vol.93, 2011.

. Md-desch, . Flagg, and . May, Jovian s-burst observations at 32 mhz, Nature, vol.272, pp.38-40, 1978.

C. Dfm-+-15]-arwa-dabbech, D. Ferrari, E. Mary, O. Slezak, . Smirnov et al., Moresane : Model reconstruction by synthesis-analysis estimators-a sparse deconvolution algorithm for radio interferometric imaging

, Astronomy & Astrophysics, vol.576, p.7, 2015.

L. David and . Donoho, Neighborly polytopes and sparse solutions of underdetermined linear equations, 2005.

L. David and . Donoho, Compressed sensing. Information Theory, IEEE Transactions on, vol.52, issue.4, pp.1289-1306, 2006.

L. David and . Donoho, For most large underdetermined systems of linear equations the minimal l1-norm solution is also the sparsest solution, Communications on pure and applied mathematics, vol.59, issue.6, pp.797-829, 2006.

C. Dumez-viou, P. Ravier, P. Zarka-;-daibashish, E. G. Gangopadhyay, A. M. Allstot et al., Proceedings of the XXVIIIth General Assembly of the International Union of Radio Science, IEEE Journal, vol.49, issue.2, pp.426-438, 2005.

. Ggs-+-15a]-hugh-garsden, J. Girard, S. Starck, C. Corbel, . Tasse et al., Lofar sparse image reconstruction, Astronomy & astrophysics, vol.575, p.90, 2015.

N. Ggs-+-15b]-julien, H. Girard, J. L. Garsden, S. Starck, A. Corbel et al., Sparse representations and convex optimization as tools for lofar radio interferometric imaging, vol.10, p.8013, 2015.

H. Gpl-+-16a]-yosra-gargouri, P. Petit, and . Loumeau, Baptiste Cecconi et Patricia Desgreys : Compressed sensing for astrophysical signals, Electronics, Circuits and Systems (ICECS), 2016 IEEE International Conference on, pp.313-316, 2016.

H. Gpl-+-16b]-yosra-gargouri, P. Petit, and . Loumeau, Baptiste Cecconi et Patricia Desgreys : Compressive sampling for efficient astrophysical signals digitizing : From compressibility study to data recovery, Journal of Astronomical Instrumentation, vol.5, issue.04, p.1641020, 2016.

H. Gpl-+-16c]-yosra-gargouri, P. Petit, B. Loumeau, P. Cecconi, H. Desgreys-;-yosra-gargouri et al., Baptiste Cecconi et Patricia Desgreys : Analog-to-information converter design for low-power acquisition of astrophysical signals, New Circuits and Systems Conference, pp.113-116, 2016.

H. Pierre, B. Carine, C. Francesco, and M. Andrã©, Couplage d'ondes dans le milieu interplanétaire, 2014.

P. Henri, . Briand, . Mangeney, . Sd-bale, . Califano et al., Evidence for wave coupling in type iii emissions, Journal of Geophysical Research : Space Physics, vol.114, issue.A3, 2009.
DOI : 10.1029/2008ja013738

URL : https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2008JA013738

P. Henri, From Vlasov to STEREO : nonlinear coupling in the solar wind
URL : https://hal.archives-ouvertes.fr/tel-00532627

D. Thèse-de, , 2010.

C. Huang and J. Lin, Ya-Ting Shyu et Soon-Jyh Chang : A systematic design methodology of asynchronous sar adcs, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol.24, issue.5, pp.1835-1848, 2016.
DOI : 10.1109/tvlsi.2015.2494063

J. Peter and . Huber, Projection pursuit. The annals of Statistics, pp.435-475, 1985.

S. Hess, . Zarka, . Mottez, and . Vb-ryabov, Electric potential jumps in the io-jupiter flux tube, Planetary and Space Science, vol.57, issue.1, pp.23-33, 2009.

S. Kirolos, J. Laska, M. Wakin, M. Duarte, D. Baron et al., Analog-toinformation conversion via random demodulation, Design, Applications, Integration and Software, pp.71-74, 2006.
DOI : 10.1109/dcas.2006.321036

URL : http://www.ece.rice.edu/~duarte/images/RandDemod-DCAS06.pdf

A. Kundu, K. Pradosh, and . Roy, Sparse signal recovery from nonadaptive linear measurements, 2013.

F. Li, S. Brown, and T. Hoog, The application of compressive sampling to radio astronomy-ii. faraday rotation measure synthesis, Solid-State Circuits Conference Digest of Technical Papers (ISSCC), vol.531, pp.386-387, 2010.

M. Lee, J. William, P. Dally, and . Chiang, Low-power area-efficient highspeed i/o circuit techniques, IEEE Journal of Solid-State Circuits, vol.35, issue.11, pp.1591-1599, 2000.
DOI : 10.1109/4.881204

M. Lustig, L. David, J. Donoho, and . Pauly, Compressed sensing mri, IEEE Signal Processing Magazine, vol.25, issue.2, pp.72-82, 2008.

M. E. Michael-a-lexa, . Davies, S. John, and . Thompson, Reconciling compressive sampling systems for spectrally sparse continuous-time signals, IEEE Transactions on Signal Processing, vol.60, issue.1, pp.155-171, 2012.

S. Jason-n-laska, . Kirolos, F. Marco, . Duarte, S. Tamer et al., Theory and implementation of an analog-to-information converter using random demodulation, IEEE International Symposium on, pp.1959-1962, 2007.

J. Lee and Y. Li, Meng-Hsiung Hung et Shih-Jou Huang : A fully-integrated 77-ghz fmcw radar transceiver in 65-nm cmos technology, vol.45, pp.2746-2756, 2010.
DOI : 10.1109/jssc.2010.2075250

S. Maria, Extension de matching pursuit au modele des moindres carrés totaux, MajecSTIC 2005 : Manifestation des Jeunes Chercheurs francophones dans les domaines des STIC, pp.188-195, 2005.

M. Mishali, C. Yonina, and . Eldar, From theory to practice : Sub-nyquist sampling of sparse wideband analog signals. Selected Topics in Signal Processing, IEEE Journal, vol.4, issue.2, pp.375-391, 2010.
DOI : 10.1109/jstsp.2010.2042414

URL : http://webee.technion.ac.il/Sites/People/YoninaEldar/Info/FTPSNSSWAS.pdf

M. Mishali, C. Yonina, H. Eldar-;-reda-mohellebi, P. Petit, H. Loumeau et al., A high dynamic range stacked adcs receiver for long wavelength radio astronomy observations, New Circuits and Systems Conference (NEWCAS), vol.28, pp.109-112, 2011.

Y. Massoud, S. Smaili, and V. Singal, Efficient realization of random demodulator-based analog to information converters, Biomedical Circuits and Systems Conference (BioCAS), pp.133-136, 2011.
DOI : 10.1109/biocas.2011.6107745

B. Murmann, Adc performance survey, 1997.

B. Malki, T. Yamamoto, and B. Verbruggen, Piet Wambacq et Jan Craninckx : A 70 db dr 10 b 0-to-80 ms/s current-integrating sar adc with adaptive dynamic range, IEEE Journal of Solid-State Circuits, vol.49, issue.5, pp.1173-1183, 2014.

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

D. Needell and . Tropp, Cosamp : Iterative signal recovery from incomplete and inaccurate samples, vol.26, pp.301-321, 2009.

D. Needell and R. Vershynin, Uniform uncertainty principle and signal recovery via regularized orthogonal matching pursuit, Foundations of computational mathematics, vol.9, issue.3, pp.317-334, 2009.

Y. Chandra and P. , Ramin Rezaiifar et Perinkulam Sambamurthy Krishnaprasad : Orthogonal matching pursuit : Recursive function approximation with applications to wavelet decomposition, Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on, pp.40-44, 1993.

R. M. Saad-qaisar, W. Bilal, and . Iqbal, Muqaddas Naureen et Sungyoung Lee : Compressive sensing : From theory to applications, a survey, Journal of Communications and networks, vol.15, issue.5, pp.443-456, 2013.

S. Rapuano, Analog-to-information converters : research trends and open problems, 26th International Conference Radioelektronika (RADIOE-LEKTRONIKA), pp.10-17, 2016.

A. Ravelomanantsoa, Approche déterministe de l'acquisition comprimée et la reconstruction des signaux issus de capteurs intelligents distribués, 2015.

B. Ana, R. E. Ramirez, G. Carrillo, . Arce, E. Kenneth et al., An overview of robust compressive sensing of sparse signals in impulsive noise, Signal Processing Conference (EUSIPCO), p.23, 2015.

. European, , pp.2859-2863, 2015.

C. Rebai, et Yehia Massoud : A prototype hardware for random demodulation based compressive analog-to-digital conversion, Contribution à la Caractérisation des Convertisseurs Analogiques Numériques haute performances, pp.37-40, 2002.

L. Bob, M. Sturm, and . Groesb, Comparison of orthogonal matching pursuit implementations, Signal Processing Conference, p.2012

, Proceedings of the 20th European, pp.220-224, 2012.

M. Saberi, R. Lotfi, K. Mafinezhad, A. Wouter, and . Serdijn, Analysis of power consumption and linearity in capacitive digital-to-analog converters used in successive approximation adcs, IEEE Transactions on Circuits and Systems I : Regular Papers, vol.58, issue.8, pp.1736-1748, 2011.

. Smk-+-07]-daniel, E. Schinkel, E. Mensink, and . Klumperink, Ed Van Tuijl et Bram Nauta : A double-tail latch-type voltage sense amplifier with 18ps setup+ hold time, Solid-State Circuits Conference, pp.314-605, 2007.

R. Storn and K. Price, Differential evolution-a simple and efficient heuristic for global optimization over continuous spaces, Journal of global optimization, vol.11, issue.4, pp.341-359, 1997.

M. Trakimas, D. Robert, S. Angelo, T. Aeron, S. Hancock et al., A compressed sensing analog-to-information converter with edge-triggered sar adc core. Circuits and Systems I : Regular Papers, IEEE Transactions on, vol.60, issue.5, pp.1135-1148, 2013.

R. Tibshirani, Regression shrinkage and selection via the lasso, Journal of the Royal Statistical Society. Series B (Methodological), pp.267-288, 1996.

A. Joel and . Tropp, Just relax : Convex programming methods for identifying sparse signals in noise, IEEE transactions on information theory, vol.52, issue.3, pp.1030-1051, 2006.

E. Van-den, . Berg, P. Michael, and . Friedlander, Eric AM Klumperink et Bram Nauta : A 10-bit charge-redistribution adc consuming 1.9 µ w at 1 ms/s, SIAM Journal on Scientific Computing, vol.31, issue.2, pp.1007-1015, 2008.

S. Wbn-+-12]-michael-wakin, E. Becker, M. Nakamura, E. Grant, D. Sovero et al., Azita EmamiNeyestanak et Emmanuel Candes : A nonuniform sampler for wideband spectrally-sparse environments. Emerging and Selected Topics in Circuits and Systems, IEEE Journal on, vol.2, issue.3, pp.516-529, 2012.

J. Wang, S. Kwon, P. Li, and B. Shim, Recovery of sparse signals via generalized orthogonal matching pursuit : A new analysis, IEEE Transactions on Signal Processing, vol.64, issue.4, pp.1076-1089, 2016.

. Ybm-+-12]-juhwan, S. Yoo, M. Becker, M. Monge, and . Loh, Emmanuel Candes et Azita Emami-Neyestanak : Design and implementation of a fully integrated compressed-sensing signal acquisition system, Acoustics, Speech and Signal Processing, pp.5325-5328, 2012.

J. Yoo, C. Turnes, E. B. Nakamura, C. K. Le, S. Becker et al., A compressed sensing parameter extraction platform for radar pulse signal acquisition. Emerging and Selected Topics in Circuits and Systems, Planetary and Space Science, vol.2, issue.3, pp.156-166, 2012.

D. Zhang, Christer Svensson et Atila Alvandpour : Power consumption bounds for sar adcs, Circuit Theory and Design (ECCTD), 2011 20th European Conference on, pp.556-559, 2011.