Ørsted DTU 1 The COSMOS Airborne Campaigns. Status October’06 N. Skou, S. S. Søbjærg, J. Balling, S. S. Kristensen, and S. Misra ØrstedDTU Technical University.

Slides:



Advertisements
Similar presentations
The ESA CoSMOS study for the validation of the SMOS L2 prototype K Saleh Contell, Y. Kerr, MJ Escorihuela, G. Boulet, P. Maisongrande, P. de Rosnay, JP.
Advertisements

Digital FX Correlator Nimish Sane Center for Solar-Terrestrial Research New Jersey Institute of Technology, Newark, NJ EOVSA Technical Design Meeting.
The Aquarius Salinity Retrieval Algorithm Frank J. Wentz and Thomas Meissner, Remote Sensing Systems Gary S. Lagerloef, Earth and Space Research David.
1 Analysis of Airborne Microwave Polarimetric Radiometer Measurements in the Presence of Dynamic Platform Attitude Errors Jean Yves Kabore Central Florida.
ElectroScience Lab Studies of Radio Frequency Interference in SMOS Observations IGARSS 2011 Joel T. Johnson and Mustafa Aksoy Department of Electrical.
Digital Signal Processing
Cold Sky Calibration Aquarius: D. M. Le Vine MWR: J. C. Gallo.
Implement a 2x2 MIMO OFDM-based channel measurement system (no data yet) at 2.4 GHz Perform baseband processing and digital up and down conversion on Nallatech.
RFI shielding and mitigation techniques for a sensitive search for the 327 MHz line of Deuterium Alan E.E. Rogers, Joseph C. Carter, Preethi Pratap M.I.T.
SIGNAL PROCESSING TECHNIQUES USED FOR THE ANALYSIS OF ACOUSTIC SIGNALS FROM HEART AND LUNGS TO DETECT PULMONARY EDEMA 1 Pratibha Sharma Electrical, Computer.
SMOS SAG Meeting, ESAC-Villafranca del Castillo, 2-3 Nov 2006 KAUZAR SALEH YANN H. KERR COSMOS PROPOSAL TEAM Presentation of the study.
Digital Voice Communication Link EE 413 – TEAM 2 April 21 st, 2005.
1 Project supervised by: Dr Michael Gandelsman Project performed by: Roman Paleria, Avi Yona 26/4/2004 Multi-channel Data Acquisition System Final_A Presentation.
STARLight PDR 3 Oct ‘01C.1 Hansen STARLight Peter Hansen PROJECT OVERVIEW.
DME (Distance Measuring Equipment ) Frequency Band : –Airborne: 1025 MHz – 1150 MHz –Ground :63 MHz below Tx frequency 1025 – 1087 MHz 63 MHz above Tx.
Use of FOS for Airborne Radar Target Detection of other Aircraft Example PDS Presentation for EEE 455 / 457 Preliminary Design Specification Presentation.
Distance measuring equipment (DME)
Use of FOS to Improve Airborne Radar Target Detection of other Aircraft Example PDS Presentation for EEE 455 / 457 Preliminary Design Specification Presentation.
1 Cessna EME Lab Reverb Chamber Emissions Matthew Wills EME Lab Supervisor December 7th, 2004.
Adaptive Signal Processing Class Project Adaptive Interacting Multiple Model Technique for Tracking Maneuvering Targets Viji Paul, Sahay Shishir Brijendra,
ElectroScience Lab Department of Electrical and Computer Engineering ElectroScience Laboratory The Ohio State University *Department of Electrical and.
6-1 EE/Ge 157b Week 6 EE/Ae 157 a Passive Microwave Sensing.
Team may00-04 Fazal Baloch, EE Yew-Kwong Soo, EE Wee-Liat Tay, EE Chris Van Oosbree, CprE Walter Wedan, EE Abstract The purpose of this project is to develop.
Coherent Noise Suppression Divided into two components – Near-DC Doppler component Always present We do a very good job of removing There can be artifacts.
TTMG 5103 Module Techniques and Tools for problem diagnosis and improvement prior to commercialization Shiva Biradar TIM Program, Carleton University.
Department of Electrical and Computer Engineering ElectroScience Laboratory The Ohio State University 10th November 2005 Studies of Radio Frequency Interference.
DARPA Digital Audio Receiver, Processor and Amplifier Group Z James Cotton Bobak Nazer Ryan Verret.
Spaceborne Radar for Snowfall Measurements
Noise studies: hardware tests and preliminary results Anna, Anton, Giovanni, Pigi, Silvia, A. Boiano, A. Vanzanella.
1 of 20 Z. Nikolova, V. Poulkov, G. Iliev, G. Stoyanov NARROWBAND INTERFERENCE CANCELLATION IN MULTIBAND OFDM SYSTEMS Dept. of Telecommunications Technical.
Namaste Project 3.4 GHz Interference Study Preliminary document - Work in Progress updated The intent of this study is to collect data which may.
Techniques for interference mitigation on RATAN-600 radio telescope in dm ranges A.B. Berlin, N. A. Nizhel'skij, M. G. Mingaliev, P. G. Tsybulev, D. V.
1 of 22 Glaciers and Ice Sheets Interferometric Radar (GISIR) Center for Remote Sensing of Ice Sheets, University of Kansas, Lawrence, KS
Gauge Operation and Software by Scott A. Ager. Computer Recommendations 750 MHz Pentium III 64 Meg SRAM 40 Gig Hard Drive 1024 x 768 graphics CD Writer.
Polarization at IRAM Status and Plans S.Guilloteau Laboratoire d’Astrophysique de Bordeaux.
LOW COST RADAR; ERIC WALTON 2012 CERF PROJECT Eric Walton, ElectroScience Laboratory, ECE Dept., The Ohio State University Frequency.
EXPERIMENTAL STUDY OF RADIO FREQUENCY INTERFERENCE DETECTION ALGORITHMS IN MICROWAVE RADIOMETRY José Miguel Tarongí Bauzá Giuseppe Forte Adriano Camps.
7 th SMOS Workshop, Frascati, October /17 AMIRAS campaign Fernando Martin-Porqueras.
Airborne RLAN and Weather Radar Interference Studies at C Band Paul Joe 1, Frank Whetten 2, John Scott 1 and Dennis Whetten 2 1 Environment Canada 2 The.
William Crosson, Ashutosh Limaye, Charles Laymon National Space Science and Technology Center Huntsville, Alabama, USA Soil Moisture Retrievals Using C-
Workshop on Algorithm Implementation within the Aquarius Data Processing System March 2007 College of Engineering Department of Atmospheric, Oceanic.
Doc.: IEEE /0013r0 Submission April 2008 Joel Johnson, IEEE GRSSSlide 1 Coexistence Issues for Passive Earth Sensing from GHz Notice: This.
Emergency Position Indicating Radio Beacon
ATLAS Liquid Argon Calorimeter Monitoring & Data Quality Jessica Levêque Centre de Physique des Particules de Marseille ATLAS Liquid Argon Calorimeter.
ElectroScience Lab Department of Electrical Engineering ElectroScience Laboratory The Ohio State University 9th July 2002 Digital Receiver with Interference.
EMIRAD Data coSMOS2 campaign. coSMOS2 campaign objectives Validation of SMOS SM L2 prototype processor Assimilation of root zone moisture Investigation.
Real-time Acquisition and Processing of Data from the GMRT Pulsar Back- ends Ramchandra M. Dabade (VNIT, Nagpur) Guided By, Yashwant Gupta.
Feedback Control system
MULTI-FREQUENCY, MULTI-POLARIZATION AND ANGULAR MEASUREMENTS OF BARE SOIL, SNOW AND WATER ICE MICROWAVE REFLECTION AND EMISSION BY C-, Ku-, AND Ka-BAND,
The Interconnect Modeling Company™ High-Speed Interconnect Measurements and Modeling Dima Smolyansky TDA Systems, Inc.
CCAR / University of Colorado 1 Airborne GPS Bistatic Radar in CLPX Dallas Masters University of Colorado, Boulder Valery Zavorotny NOAA ETL Stephen Katzberg.
A real-time software backend for the GMRT : towards hybrid backends CASPER meeting Capetown 30th September 2009 Collaborators : Jayanta Roy (NCRA) Yashwant.
Mission Operations Review February 8-10, 2010 Cordoba, ARGENTINA SECTION 16.x Aquarius Science Commissioning and Acceptance Draft 2 Prepared by: Gary Lagerloef,
Differences in SFMR Measurements Alan S. Goldstein, NOAA/Aircraft Operations Center Lt. Col. Jonathan Talbot, USAFR AFRC 53 WRS Dr. Eric Uhlhorn, NOAA/Hurricane.
国家 863 计划微波遥感技术实验室 The National Microwave Remote Sensing Laboratory 11/15/2007 Preparation for Vicarious Calibration of SMOS using Takelimgan Sand Desert.
47th Annual Meeting of the Division of Plasma Physics, October 24-28, 2005, Denver, Colorado ECE spectrum of HSX plasma at 0.5 T K.M.Likin, H.J.Lu, D.T.Anderson,
Aquarius Level 0-to-1A Processing Rule #1: save everything from the Level 0 data. Rule #2: never forget Rule #1! The objective is to ensure that the Level.
BASIC INSTRUMENTS - oscilloscopes
SCM x330 Ocean Discovery through Technology Area F GE.
Signal Propagation Basics
Digitization at Feed Through R&D (2) Digitizer Performance Evaluation Student: John Odeghe ; SC State, Fermi Lab Intern Supervisor: JinYuan Wu; Fermi Lab.
Information Warfare Technologies Inc. Calibration Techniques for Amplitude DF Systems AOC SYMPOSIUM OCTOBER 2005 Mr. Al Evans President Information Warfare.
SAGE meeting Socorro, May 22-23, 2007 WIDAR Correlator Overview Michael P. Rupen Project Scientist for WIDAR & Software.
Digital Down Converter (DDC)
EVLA Spectral-Line Science Below 1200 MHz
SCADA for Remote Industrial Plant
Alternating Polarization ´Single´ Look Complex Product Status
Efficient mitigation of RFI at radio astronomy observatories
First look at Injection of Burst Waveforms prior to S1
Soil Moisture Active Passive (SMAP) Satellite
Presentation transcript:

Ørsted DTU 1 The COSMOS Airborne Campaigns. Status October’06 N. Skou, S. S. Søbjærg, J. Balling, S. S. Kristensen, and S. Misra ØrstedDTU Technical University of Denmark

Ørsted DTU 2 L-band Radiometer System EMIRAD-2 is a fully polarimetric radiometer operating in the MHz protected band EMIRAD-2 consists of: –2 antennas, one pointing 40 deg aft, one pointing nadir. The antennas are Potter horns with no sidelobes –radiometer unit with dual inputs –EGI (INU + GPS) for attitude and navigation –industrial PC for fast data recording –laptop for instrument control and normal data recording Installed on 2 small aircraft

Ørsted DTU 3 40 deg Potter Horn

Ørsted DTU 4 40 deg Horn Pattern HPBW=30.6° i.e.: FPL = 932 m FPX = 714 m from 1000 m altitude

Ørsted DTU 5 Radiometer Description Digital radiometer with subharmonic sampling. A to D converters directly sample the L-band signals with a clock frequency of MHz. The data from the converters are fed into an FPGA where correlation, calculation of second and fourth order moments of the PDF, and integration is performed digitally Data integrated to 8 msec. is stored on the laptop computer also controlling the system. These data will be available in near real time. A second data stream - fast data - is implemented for RFI mitigation, done off-line for optimum performance. In the normal mode of operation, data only pre-integrated to 1.8  sec is recorded on a fast HD in an industrial PC. The fast data channel can also be operated in a special mode where raw data from the converters are stored. 2 x 32 K samples are stored with a 25% duty cycle. The normal fast data is pre-integrated to 14.7  sec in this mode.

Ørsted DTU 6 Data Output 8 msec. integration: – for H-pol – for V-pol – for H-pol – for V-pol – 0° for 3’rd Stokes – 90° for 4’th Stokes Fast data (1.8  sec integration): as above. Fast data alternatively raw samples plus above integrated to 14.7  sec.

Ørsted DTU 7 EMIRAD-2 Specifications Correlation radiometer with direct sampling Fully polarimetric (i.e. 4 Stokes) Frequency: MHz (-60 dB BW; about 22 MHz -3 dB BW) Digital radiometer with MHz sampling Advanced analog filter for RFI suppression. Data integrated to 8 msec recorded on PC Off-line digital RFI filtering in frequency and time domains. Fast data pre-integrated to 1.8  sec or raw data is recorded on HD Sensitivity: 0.1 K for 1 sec. integration time Calibration: internal load and noise diode 2 antennas - one nadir pointing, one pointing 40 deg. aft Antennas are Potter horns (no sidelobes) with 37.6° and 30.6° HPBW

Ørsted DTU 8 Block Diagram

Ørsted DTU 9 Temperature Stabilized Enclosure 2 digital PI-regulators stability of microwave section better than 0.02 °C for 15 °C change in ambient temperature DFE stability better than 0.1 °C for same change

Ørsted DTU 10 Problems under Warm Conditions Internal temperature (normally around 40 °C) cannot be kept stable Calibration severely affected Eventually the radiometer overheats This situation prevailed in Australia due to failing aircraft air-condition Solution: –base calibration on internal load and noise diode –make model for noise diode output as function of temperature by operating radiometer in lab under elevated temperatures –re-process all data Result: –calibrated data but with less accuracy (under normal conditions calibration depends directly on primary LN2 cal. - here only indirectly) –OK for soil moisture where requirements are modest

Ørsted DTU 11 Radiometer Control - screen dump

Ørsted DTU 12 Large Antenna on C-130

Ørsted DTU 13 EMIRAD-2 on Aero Commander

Ørsted DTU 14 EMIRAD-2 on Aero Commander

Ørsted DTU 15 EMIRAD-2 on Aero Commander

Ørsted DTU 16 CoSMOS “Down Under” Campaign

Ørsted DTU 17 EMIRAD on HUT Skyvan

Ørsted DTU 18 Two Flight Patterns off Norway

Ørsted DTU 19 CoSMOS-OS Campaign

Ørsted DTU 20 Re-processing Status Radiometer has been characterized in the lab with internal temperatures in the range °C OMTs have been measured (NWA): –loss in side port: 0.08 dB, in end port: 0.05 dB –S 11 around -15 dB –X-pol below 30 dB Cable losses are 0.3 dB Processing algorithms established this week Bulk processing starts next week Quality checks Data delivery before Christmas

Ørsted DTU 21 RFI - 8 msec Data and 15  sec Data

Ørsted DTU 22 RFI - 15  sec Data: TB and Moment Ratio

Ørsted DTU 23 Example from Australia (zoom in on 15  sec data)

Ørsted DTU 24 Example from Australia (raw data)

Ørsted DTU 25 What are the Dangers of RFI? Strong RFI of long duration may elevate brightness temperature by unreasonable amount or even blank radiometer Result: loss of data, but you know! More likely, but far more dangerous situation: RFI (low level or short pulses) may contribute to your signal with a power corresponding to a Kelvin for example. Very difficult to know!

Ørsted DTU 26 What are our Priorities? 1.To detect the situation 2.Mitigate if possible

Ørsted DTU 27 Can RFI be Detected? Huge RFI no problem - TB is clearly too large More normal RFI very difficult in normal radiometer systems having integration from milliseconds to seconds Need to have very fast sampling rate - preferably digital radiometer (EMIRAD-2 has 140 MHz sampling) Radar signals may be detected as unusually large signals with suitable but short pre-integration But most signals can be detected by investigating statistical properties: –TB is Gaussian which has a fixed ratio of 3 between 4’th and 2’nd order central moments (kurtosis) –Other signals (especially pulsed and continuous) typically have different value (beware, however: sine with 50% duty cycle also have ratio of 3!!) All this has to be done using “raw” data (before integration)

Ørsted DTU 28 Can RFI be Mitigated? Time domain: –Continuous signals not –Pulse type signals with low duty cycle can: following the detection in the raw data, inflicted samples are discarded before integration. For typical radar signals the loss of radiometer signal will thus be very moderate. Frequency domain: –Even our narrow band (27MHz) may be split into sub-bands. –Each sub-band is analyzed –Inflicted sub-bands are discarded –Work on both continuous and pulsed signals In both cases: consequence is increased  T - depending on how much has to be discarded.

Ørsted DTU 29 What is Being Done at DTU? EMIRAD-2 has collected data in Australia and in the North Sea: –Data pre-integrated to 1.8 microsec. recorded continuously. –Bursts of raw data (140 MHz sampling) recorded on special occasions. For sure, examples of RFI have been captured Analysis and theoretical considerations are ongoing.

Ørsted DTU 30 CoSMOS-OS Flight Line

Ørsted DTU 31 Power, Aft Horn, H-pol, 8 msec. Sampling

Ørsted DTU 32 Kurtosis, Aft Horn, H-pol, 8 msec. Sampling

Ørsted DTU 33 Power, Region of Interest

Ørsted DTU 34 Kurtosis, Region of Interest

Ørsted DTU 35 Power, Zoom in on Region of Interest

Ørsted DTU 36 Kurtosis, Zoom in on Region of Interest

Ørsted DTU 37 Power, one 8 msec Window with 1.8  s Sampling

Ørsted DTU 38 Kurtosis, one 8 msec Window with 1.8  s Sampling

Ørsted DTU 39 Power, Nadir Horn, 8 msec. Sampling

Ørsted DTU 40 Kurtosis, Nadir Horn, 8 msec. Sampling

Ørsted DTU 41 Power, Zoom in on Region of Interest

Ørsted DTU 42 Kurtosis, Zoom in on Region of Interest

Ørsted DTU 43 Power, one 8 msec Window with 1.8  s Sampling

Ørsted DTU 44 Kurtosis, one 8 msec Window with 1.8  s Sampling

Ørsted DTU 45 Kurtosis on Flight Line

Ørsted DTU 46 Power

Ørsted DTU 47 Power - Land Zoom

Ørsted DTU 48 Power - Sea Zoom

Ørsted DTU 49 Kurtosis

Ørsted DTU 50 Kurtosis - Land Zoom

Ørsted DTU 51 Kurtosis - Sea Zoom

Ørsted DTU 52 Conclusions and Plans Many potentially harmful RFI pulses present Some can be seen in 8 msec TB data - some cannot!! Can be seen in kurtosis data Some not seen in 8 msec TB data can be seen in 1.8  s TB data. Example 1: seen both in kurtosis and 8 msec TB data. RFI adds 3.5 K!! Example 2: only seen in kurtosis. RFI adds 0.9 K to 8 msec TB data!!!!!! Kurtosis powerful tool. Also fast sampling  s (TBC) - is powerful Analysis being carried out this fall and winter Algorithms for mitigation to be developed Potential for FPGA implementation - avoids fast data rate (link to ground / recording capacity)

Ørsted DTU 53 What About Future Campaigns? Do not trust any L-band radiometer unless it has at least fast sampling (microsecond range) - and preferably kurtosis check This goes especially for airborne campaigns Available radiometers: –EMIRAD-2 –CAROLS (EMIRAD-2 copy, ready next year) –EMIRAD-1 after minor modification. –????