SlideShare a Scribd company logo
1 of 47
SMOS:  Principles of Operation  of the MIRAS instrument   Prof. A. Camps Dept. de Teoria del Senyal i Comunicacions Universitat Politècnica de Catalunya and IEEC/CRAE-UPC E-mail:  [email_address] … on behalf of many people (many anonymous)  that kept this dream alive and make it happen devoted to Prof. Cal Swift… the pioneer
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Channel 2 Channel 1 = antenna spacing normalized to the wavelength Baseline ,[object Object],[object Object],Ideal case :  - Identical antenna patterns   - Negligible spatial decorrelation   - No antenna positioning errors 2D Fourier Transform 1. Basic Principles H 1 ( f ) H 2 ( f ) b 1 ( t ) b 2 ( t ) Complex  Correlator
2.1. Synthetic Aperture Radiometers using Fourier Synthesis: VLA,  New Mexico, Socorro ESTAR (1 D Aperture Synthesis)    NASA Radioastronomy Earth Observation  (concept proposed in 1983 by LeVine & Good) MIRAS (2 D Aperture Synthesis)    ESA 2. Imaging in Synthetic  Aperture Radiometers
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
.  After the successful results of   ESTAR radiometer  (1988),   the   European Space Agency  starts in   1993  the first feasibility studies to apply synthetic aperture microwave radiometry in two dimensions: .   MIRAS concept is born :  Microwave Imaging Radiometer by Aperture Synthesis .   First studies  ( 1993-95 ): led by   Matra Marconi Space  as the prime contractor .   1995 Soil Moisture and Ocean Salinity Workshop  (ESTEC, the Netherlands) Aperture Synthesis Microwave Radiometry is the only technique capable of measuring soil moisture and ocean salinity with enough accuracy and spatial resolution. SSS image derived from the ’“Electronically Steered Thinned Array Radiometer (ESTAR)”.  Error = 0.3 psu (D. M. LeVine et al., NASA Goddard).
Antenna Positions Spatial frequencies ( u , v ) u v  Periodic extension 21 elements + 2 redundant elements/arm  Antenna spacing d = 0.875     Hexagonal grid in ( u , v ) plane Nyquist criterion: d<  Overlapping  of 1 alias Alias-free  Field Of View  (AF-FOV) Overlapping  of 2 aliases 2.2. Image Reconstruction Algorithms: Ideal Case
In SMOS the  “ alias-free FOV ”  can be  enlarged   since part of the alias images  are the “ cold ” sky (including the galaxy!)     T B  image limited by Earth replicas Extension of Alias-Free FOV ,[object Object],[object Object],Iso-incidence  angle contours
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],3. The SMOS Mission
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],SMOS Mission: SMOS Proba-2 Transformed  SS-19 missile
4.1. Array topology ,[object Object],[object Object],[object Object],4. MIRAS instrument  description
MIRAS consists of a central structure (hub) with 15 elements, and 3 deployable arms,  each one having 3 segments with 6 antennas each.  [credits EADS-CASA]
4.2. Receivers’ architecture: ,[object Object],[object Object],H V C U SWITCH ISOL LNA BPF RFAMP MIXER IF FILTER ATTEN SLOPE CORR. IF AMPs 1BIT ADC IF FILTER ATTEN SLOPE CORR. IF AMPs 1BIT ADC SYNTH 1396 MHz PMS 1404-1423 MHz 8-27 MHz DI TI TQ DQ REF 55.84 MHz VCO MAIN PATH GAIN = 100 dB PMS PATH GAIN = 65 dB TRF ANTENNA I Q DICOS DICOS
LICEF: the LIght and Cost Effective Front-end [credits MIER Comunicaciones]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],1 st  LICEF unit  (V-pol) 2 nd  LICEF unit  (H-pol) Controller unit  (switches, noise injection...) Correlated noise inputs  (from Noise Distribution Network) allow phase/amplitude calibration of  receivers as LICEFs & for 3 rd  and 4 th   Stokes parameters measurements [credits TKK]
SMOS NIR: T  NA       +  T A  =  T U T  NA  +  T A  =  T REF  + T NR    Normal mode of operation: Calibrating internal noise source mode: known  (cold sky) ? [Colliander et al., 2005] [credits HUT]
4.4. DIgital COrrelator System (DICOS) Digital signals from each LICEF are transmitted to DICOS to compute the complex cross-correlations of all signal pairs. 1 bit ADC (comparator)  in each LICEF Correlator =  = NOT-XOR + up-counter
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
CCU: the Correlator and Control Unit [credits EADS-CASA]
[object Object],[object Object],HUB ARMS
[object Object],[object Object],Centralized and distributed calibration These receivers belong to the NIR (□: H-channel) and  do not form additional baselines Overlapping between elements (phase & amplitude tracking along the arms) Overlapping between elements (phase & amplitude tracking  among arms) Centralized Calibration (separable & non-separable  errors can be corrected) Distributed Calibration (only separable errors  can be corrected)
OVERALL SEGMENT ARCHITECTURE [credits EADS-CASA]
[credits EADS-CASA] 6 LICEF / segment
[credits EADS-CASA] MOHA
[credits EADS-CASA] CAS
[credits EADS-CASA] CMN
[object Object],[object Object],5.1. Angular Resolution ,[object Object],[object Object],Equivalent Array Factor : same response as for an array of elements at  ( u,v )  positions ( except for the  |(.)| 2 ) 5. Instrument Performance
Response with  rectangular window Response with  Blackmann window (rotational symmetry) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
5.2. Radiometric Performance: definition of terms Radiometric accuracy (pixel bias) Spatial standard deviation Radiometric bias (scene bias) Spatial average Systematic errors (instrumental errors) Radiometric sensitivity Temporal standard deviation 0 Zero Temporal average Random errors (noise due to finite integration time) Error maps:   T B (  ,  ,t)
Cut for    =0 Dashed lines. Theoretical formula: Radiometric Sensitivity over ocean [credits I. Corbella]
Accuracy <  0.5 K Moon Galaxy (yellowish) Galaxy Alias Galactic radio-source (TBC) Cosmic Background Radiation at 3.3 K Sun Alias [credits DEIMOS]   Scene Bias < 0.1 K
[object Object],[object Object],Fresnel Incidence angle dependence Singularity in the transformation  antenna to Earth reference frame  (dual-pol mode) [credits I. Corbella]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],T B  imaging in a single snap-shot  (1 integration time = 1.2 s / polarization in dual-pol) : Aperture Synthesis Radiometer:   2 step calibration T B  imaging pixel by pixel through antenna scan: Real Aperture Radiometer: 1 step calibration ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],*** Image Reconstruction Algorithm *** *** Imaging by (e.g.) conical scan ***
Calibration Concept: Brief sketch ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
a.  MIRAS internal calibration Instrumental errors correction: set of measurements and mathematical relations to remove instrumental errors  INTERNAL INSTRUMENT CALIBRATION ,[object Object],[object Object],Error model
MIRAS Internal calibration Calibrated visibility: (*) (*) PMS gain PMS offset Correlation  amplitude
Formulation of the Problem: Instrument Equation After Internal Calibration [credits I. Corbella] To be corrected using  the  Flat Target Response
The Flat Target Response: ,[object Object],defining:  Then the differential visibilities to be processed are:
[object Object],[object Object],[object Object],HERE IT GOES THE ANIMATION. T_X_skylook2.gif HERE IT GOES THE ANIMATION. T_Y_skylook2.gif External calibration [credits I. Corbella] Tx and Ty while satellite is turning up
5.4. Imaging Modes: Dual-polarization and full-polarimetric  Dual-polarization radiometer: MIRAS has dual-pol antennas, but only one receiver     polarizations have to be measured sequentially,  with an integration time of 1.2 s each [credits M. Martin-Neira]
Full-polarimetric mode:   (selected as operational mode for SMOS) [credits M. Martin-Neira]
6. Geolocalization:  from director cosines grid to Earth reference frame grid ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],6. Geolocalization and Retrieval of Geophysical Parameters
L1 processor L2 processor L3 processor ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Auxiliary data Multi-angular emission models OS map  (1 overpass) SM map  (1 overpass) Spatio-temporal averaging Snap-shot 1 Snap-shot 2 Snap-shot 3 Snap-shot 4
[object Object],[object Object],(pin 5) (pin 3)
Sample results of the application of the downscaling algorithm to a SMOS image covering the Murrumbidgee catchment, South-Eastern Australia, on January 19, 2010 (6 am). First row: 40 km SMOS soil moisture  [m 3 /m 3 ]  over Murrumbidgee (left), and zoom into Yanco site (right). Second row: 1 km downscaled soil moisture  [m 3 /m 3 ]  over Murrumbidgee (left), and zoom into Yanco site  (right ). Dots indicate the location of the soil moisture permanent stations within the Murrumbidgee catchment used for validation purposes with colors representing their measurement at the exact SMOS acquisition time (only within Yanco site). Empty areas in the images correspond to non-retrieved soil moisture or clouds masking MODIS Ts measurements. (a) 60 x 60 km Yanco site in the Murrumbidgee catchment, South-Eastern Australia, (b) 1 km MODIS NDVI, and (c) and LST [K] on January 19, 2010.  ,[object Object],60 km (b) MODIS NDVI [m 3 /m 3 ] (c) MODIS LST [m 3 /m 3 ] (a) Murrumbidgee catchment 1 km downscaled SMOS soil moisture [m 3 /m 3 ] using MODIS VIS/IR data 40 km SMOS soil moisture [m 3 /m 3 ]
Thanks for your attention!

More Related Content

Similar to MIRAS: the instrument aboard SMOS

Night Water Vapor Borel Spie 8 12 08 White
Night Water Vapor Borel Spie 8 12 08 WhiteNight Water Vapor Borel Spie 8 12 08 White
Night Water Vapor Borel Spie 8 12 08 White
Christoph Borel
 
Night Water Vapor Borel Spie 8 12 08 White
Night Water Vapor Borel Spie 8 12 08 WhiteNight Water Vapor Borel Spie 8 12 08 White
Night Water Vapor Borel Spie 8 12 08 White
guest0030172
 
An absorption profile centred at 78 megahertz in the sky-averaged spectrum
An absorption profile centred at 78 megahertz in the sky-averaged spectrumAn absorption profile centred at 78 megahertz in the sky-averaged spectrum
An absorption profile centred at 78 megahertz in the sky-averaged spectrum
Sérgio Sacani
 
Design and First Results of an UAV-Borne L-Band Radiometer for Multiple Monit...
Design and First Results of an UAV-Borne L-Band Radiometer for Multiple Monit...Design and First Results of an UAV-Borne L-Band Radiometer for Multiple Monit...
Design and First Results of an UAV-Borne L-Band Radiometer for Multiple Monit...
Angelo State University
 
Raqrs06 Borel Talk 8 15 06 White
Raqrs06 Borel Talk 8 15 06 WhiteRaqrs06 Borel Talk 8 15 06 White
Raqrs06 Borel Talk 8 15 06 White
Christoph Borel
 
Raqrs06 Borel Talk 8 15 06 White
Raqrs06 Borel Talk 8 15 06 WhiteRaqrs06 Borel Talk 8 15 06 White
Raqrs06 Borel Talk 8 15 06 White
guest0030172
 
Characterisation of neutron meriaty
Characterisation of neutron  meriatyCharacterisation of neutron  meriaty
Characterisation of neutron meriaty
Leishman Associates
 

Similar to MIRAS: the instrument aboard SMOS (20)

APPLICATION OF SIGNAL PROCESSING IN RADIO ASTRONOMY SYSTEMS
APPLICATION OF SIGNAL PROCESSING IN RADIO ASTRONOMY SYSTEMSAPPLICATION OF SIGNAL PROCESSING IN RADIO ASTRONOMY SYSTEMS
APPLICATION OF SIGNAL PROCESSING IN RADIO ASTRONOMY SYSTEMS
 
Design of Linear Array Transducer Using Ultrasound Simulation Program Field-II
Design of Linear Array Transducer Using Ultrasound Simulation Program Field-IIDesign of Linear Array Transducer Using Ultrasound Simulation Program Field-II
Design of Linear Array Transducer Using Ultrasound Simulation Program Field-II
 
Night Water Vapor Borel Spie 8 12 08 White
Night Water Vapor Borel Spie 8 12 08 WhiteNight Water Vapor Borel Spie 8 12 08 White
Night Water Vapor Borel Spie 8 12 08 White
 
Night Water Vapor Borel Spie 8 12 08 White
Night Water Vapor Borel Spie 8 12 08 WhiteNight Water Vapor Borel Spie 8 12 08 White
Night Water Vapor Borel Spie 8 12 08 White
 
ESA SMOS (Soil Moisture and Ocean Salinity) Mission: Principles of Operation ...
ESA SMOS (Soil Moisture and Ocean Salinity) Mission: Principles of Operation ...ESA SMOS (Soil Moisture and Ocean Salinity) Mission: Principles of Operation ...
ESA SMOS (Soil Moisture and Ocean Salinity) Mission: Principles of Operation ...
 
In tech recent-advances_in_synthetic_aperture_radar_enhancement_and_informati...
In tech recent-advances_in_synthetic_aperture_radar_enhancement_and_informati...In tech recent-advances_in_synthetic_aperture_radar_enhancement_and_informati...
In tech recent-advances_in_synthetic_aperture_radar_enhancement_and_informati...
 
An absorption profile centred at 78 megahertz in the sky-averaged spectrum
An absorption profile centred at 78 megahertz in the sky-averaged spectrumAn absorption profile centred at 78 megahertz in the sky-averaged spectrum
An absorption profile centred at 78 megahertz in the sky-averaged spectrum
 
Towards the identification of the primary particle nature by the radiodetecti...
Towards the identification of the primary particle nature by the radiodetecti...Towards the identification of the primary particle nature by the radiodetecti...
Towards the identification of the primary particle nature by the radiodetecti...
 
Remote Sensin
Remote SensinRemote Sensin
Remote Sensin
 
Xray interferometry
Xray interferometryXray interferometry
Xray interferometry
 
Design and First Results of an UAV-Borne L-Band Radiometer for Multiple Monit...
Design and First Results of an UAV-Borne L-Band Radiometer for Multiple Monit...Design and First Results of an UAV-Borne L-Band Radiometer for Multiple Monit...
Design and First Results of an UAV-Borne L-Band Radiometer for Multiple Monit...
 
Raqrs06 Borel Talk 8 15 06 White
Raqrs06 Borel Talk 8 15 06 WhiteRaqrs06 Borel Talk 8 15 06 White
Raqrs06 Borel Talk 8 15 06 White
 
Raqrs06 Borel Talk 8 15 06 White
Raqrs06 Borel Talk 8 15 06 WhiteRaqrs06 Borel Talk 8 15 06 White
Raqrs06 Borel Talk 8 15 06 White
 
Presentación Tesis
Presentación TesisPresentación Tesis
Presentación Tesis
 
Basics of dip
Basics of dipBasics of dip
Basics of dip
 
Characterisation of neutron meriaty
Characterisation of neutron  meriatyCharacterisation of neutron  meriaty
Characterisation of neutron meriaty
 
Towards the identification of the primary particle nature by the radiodetecti...
Towards the identification of the primary particle nature by the radiodetecti...Towards the identification of the primary particle nature by the radiodetecti...
Towards the identification of the primary particle nature by the radiodetecti...
 
RADAR MEASUREMENTS LECTURE EECS BERKELY!
RADAR MEASUREMENTS LECTURE EECS BERKELY!RADAR MEASUREMENTS LECTURE EECS BERKELY!
RADAR MEASUREMENTS LECTURE EECS BERKELY!
 
Radar 2009 a 9 antennas 2
Radar 2009 a 9 antennas 2Radar 2009 a 9 antennas 2
Radar 2009 a 9 antennas 2
 
Rocca.ppt
Rocca.pptRocca.ppt
Rocca.ppt
 

Recently uploaded

EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
Earley Information Science
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
vu2urc
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
Joaquim Jorge
 

Recently uploaded (20)

EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your Business
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 

MIRAS: the instrument aboard SMOS

  • 1. SMOS: Principles of Operation of the MIRAS instrument Prof. A. Camps Dept. de Teoria del Senyal i Comunicacions Universitat Politècnica de Catalunya and IEEC/CRAE-UPC E-mail: [email_address] … on behalf of many people (many anonymous) that kept this dream alive and make it happen devoted to Prof. Cal Swift… the pioneer
  • 2.
  • 3.
  • 4. 2.1. Synthetic Aperture Radiometers using Fourier Synthesis: VLA, New Mexico, Socorro ESTAR (1 D Aperture Synthesis)  NASA Radioastronomy Earth Observation (concept proposed in 1983 by LeVine & Good) MIRAS (2 D Aperture Synthesis)  ESA 2. Imaging in Synthetic Aperture Radiometers
  • 5.
  • 6. . After the successful results of ESTAR radiometer (1988), the European Space Agency starts in 1993 the first feasibility studies to apply synthetic aperture microwave radiometry in two dimensions: . MIRAS concept is born : Microwave Imaging Radiometer by Aperture Synthesis . First studies ( 1993-95 ): led by Matra Marconi Space as the prime contractor . 1995 Soil Moisture and Ocean Salinity Workshop (ESTEC, the Netherlands) Aperture Synthesis Microwave Radiometry is the only technique capable of measuring soil moisture and ocean salinity with enough accuracy and spatial resolution. SSS image derived from the ’“Electronically Steered Thinned Array Radiometer (ESTAR)”. Error = 0.3 psu (D. M. LeVine et al., NASA Goddard).
  • 7. Antenna Positions Spatial frequencies ( u , v ) u v Periodic extension 21 elements + 2 redundant elements/arm Antenna spacing d = 0.875  Hexagonal grid in ( u , v ) plane Nyquist criterion: d< Overlapping of 1 alias Alias-free Field Of View (AF-FOV) Overlapping of 2 aliases 2.2. Image Reconstruction Algorithms: Ideal Case
  • 8.
  • 9.
  • 10.
  • 11.
  • 12. MIRAS consists of a central structure (hub) with 15 elements, and 3 deployable arms, each one having 3 segments with 6 antennas each. [credits EADS-CASA]
  • 13.
  • 14. LICEF: the LIght and Cost Effective Front-end [credits MIER Comunicaciones]
  • 15.
  • 16. SMOS NIR: T NA   + T A = T U T NA + T A = T REF + T NR  Normal mode of operation: Calibrating internal noise source mode: known (cold sky) ? [Colliander et al., 2005] [credits HUT]
  • 17. 4.4. DIgital COrrelator System (DICOS) Digital signals from each LICEF are transmitted to DICOS to compute the complex cross-correlations of all signal pairs. 1 bit ADC (comparator) in each LICEF Correlator = = NOT-XOR + up-counter
  • 18.
  • 19. CCU: the Correlator and Control Unit [credits EADS-CASA]
  • 20.
  • 21.
  • 22. OVERALL SEGMENT ARCHITECTURE [credits EADS-CASA]
  • 23. [credits EADS-CASA] 6 LICEF / segment
  • 27.
  • 28.
  • 29. 5.2. Radiometric Performance: definition of terms Radiometric accuracy (pixel bias) Spatial standard deviation Radiometric bias (scene bias) Spatial average Systematic errors (instrumental errors) Radiometric sensitivity Temporal standard deviation 0 Zero Temporal average Random errors (noise due to finite integration time) Error maps:  T B (  ,  ,t)
  • 30. Cut for   =0 Dashed lines. Theoretical formula: Radiometric Sensitivity over ocean [credits I. Corbella]
  • 31. Accuracy < 0.5 K Moon Galaxy (yellowish) Galaxy Alias Galactic radio-source (TBC) Cosmic Background Radiation at 3.3 K Sun Alias [credits DEIMOS]   Scene Bias < 0.1 K
  • 32.
  • 33.
  • 34.
  • 35.
  • 36.
  • 37. MIRAS Internal calibration Calibrated visibility: (*) (*) PMS gain PMS offset Correlation amplitude
  • 38. Formulation of the Problem: Instrument Equation After Internal Calibration [credits I. Corbella] To be corrected using the Flat Target Response
  • 39.
  • 40.
  • 41. 5.4. Imaging Modes: Dual-polarization and full-polarimetric Dual-polarization radiometer: MIRAS has dual-pol antennas, but only one receiver  polarizations have to be measured sequentially, with an integration time of 1.2 s each [credits M. Martin-Neira]
  • 42. Full-polarimetric mode: (selected as operational mode for SMOS) [credits M. Martin-Neira]
  • 43.
  • 44.
  • 45.
  • 46.
  • 47. Thanks for your attention!

Editor's Notes

  1. Block diagram of the LICEF-2 receivers, as used in the simulator.
  2. La transparencia 2 es simplement per dir que l&apos;analisi de la calibracio es redueix a estudiar les variacions de 3 parametres : guany i offset del PMS i Gkj. Llavors a les transparencies seguents presento resultats d&apos;aquests tres parametres.