digital receiver with interference suppression for microwave radiometry n.
Download
Skip this Video
Loading SlideShow in 5 Seconds..
Digital Receiver with Interference Suppression for Microwave Radiometry PowerPoint Presentation
Download Presentation
Digital Receiver with Interference Suppression for Microwave Radiometry

Loading in 2 Seconds...

play fullscreen
1 / 27

Digital Receiver with Interference Suppression for Microwave Radiometry - PowerPoint PPT Presentation


  • 178 Views
  • Uploaded on

Digital Receiver with Interference Suppression for Microwave Radiometry. NASA Instrument Incubator Program Year 2 Annual Review Joel T. Johnson, Steven W. Ellingson*, and Grant A. Hampson. Outline. Slides 1-8: Administrative issues Slides 9-17: System development

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'Digital Receiver with Interference Suppression for Microwave Radiometry' - terrian


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
digital receiver with interference suppression for microwave radiometry

Digital Receiver with Interference Suppression for Microwave Radiometry

NASA Instrument Incubator Program

Year 2 Annual Review

Joel T. Johnson, Steven W. Ellingson*,

and Grant A. Hampson

outline
Outline
  • Slides 1-8: Administrative issues
  • Slides 9-17: System development
  • Slides 18-23: Progress in experiments
  • Slides 24-26: LISA
digital receiver with interference suppression for microwave radiometry1

Instrument Incubator Program

ESTO Earth Science Technology Office

Digital Receiver with Interference Suppression for Microwave Radiometry

PIs: Joel T. Johnson and Steven W. Ellingson, The Ohio State University

Description and Objectives

Traditional

Radiometer

Future sea salinity and soil moisture remote sensing missions depend critically on L-Band microwave radiometry. RF interference is a major problem and limits useable bandwidth to 20 MHz. An interference suppressing radiometer could operate with a larger bandwidth to achieve improved sensitivity and more accurate moisture/salinity retrievals.

Antenna LNA Downconv. Corr/ ADC

(optional) integrate

New design

LNA ADC Corr/Integrate

Antenna Downconv. RFI Processor

Approach

Schedule and Deliverables

A prototype radiometer will be designed, built, and used to demonstrate operation in the presence of interference. The design includes a processing component to suppress interference.

Year 1: Complete design and begin construction

Year 2: Finish construction and begin tests

Year 3: Demonstrations and space system design

Co-I’s/Partners

Application/Mission

Dr. Grant Hampson, OSU

TRL levels: from 3 to 5/6

Results will apply to all future microwave radiometer missions. Future L-band soil moisture and salinity missions are primary focus.

project schedule
Project Schedule
  • Project “year 1” was 9 months, 3/11/02-11/30/02
progress in year two
Progress in Year Two
  • Current Milestone: “Complete Breadboard Instrument Fabrication; Progress in Laboratory Tests”
    • Dual channel 100 MHz system completed (second prototype)
    • Temporal blanking strategy updated; progress in software RFI processor
    • Antenna, front end, downconverter integration complete
    • Experiments currently in progress
  • Addition: LISA system flown in AMSR-E "Wakasa bay" campaign; measured detailed L-band RFI information
  • Current TRL Status: In transition from TRL 3 to TRL 4
budget personnel
Budget/Personnel
  • Year 1 + Year 2 budget: 533.9K + 21K equipment
  • Remaining as of 9/30: ~50K + 0K equipment (25K/month in 2 mos)
  • No cost under- or over-runs are expected
  • Tentative budget for year 3: 288.9K
  • Personnel:
    • Co-Pis: J. T. Johnson, S. W. Ellingson
    • Lead Designer (Research Scientist): G. A. Hampson
    • RF Support (Research Scientist): Chi-Chih Chen
    • Technician: Jim Moncrief, Ray Feast
    • Graduate Students: Nakasit Niltawach (Graduated June 03), Al Hayslip (Graduated June 03), Noppasin Niamsuwan, Ranga Krisnamurchi
    • Undergrads: Mark Frankford, Ben Sinsheimer, Ryan Schultz, Miguel Lafleche
  • Document Server (password protected):

http://esl.eng.ohio-state.edu/~swe/iip/docserv.html

plans for 12 1 03 11 30 04
Plans for 12/1/03-11/30/04
  • 12/1/03-11/30/04: “Studies of space deployment and advanced algorithms; Larger scale observations”
    • Continue experiments to refine suppression algorithms
    • Perform tests in artificially generated RFI environments
    • Test/refine algorithms with data from LISA measurements
    • Develop basic design for space-borne system
  • Interim telecon review: April-May 2004
    • last year 4/29/03
  • Project supported by NPOESS IPO on use of system at C-band is currently in progress; recent briefing on project to Boeing Satellite Systems/IPO/Aerospace
  • First flight at C-band estimated as Spring 2004
  • We’re interested in discussing possibilities for continuation of this work beyond this IIP project
publications
Publications

Recent Conference Presentations:

    • G. A. Hampson, S. W. Ellingson, and J. T. Johnson,"Design of an L-Band Microwave Radiometer with Active Mitigation of Interference," APS/URSI 2003, Columbus.
    • S.W. Ellingson, G.A. Hampson, and J.T. Johnson, "Design of an L-Band Microwave Radiometer with Active Mitigation of Interference", NASA ESTC.
    • S.W. Ellingson, G.A. Hampson, and J.T. Johnson, "Characterization of L-Band RFI and Implications for Mitigation Techniques", IGARSS 2003, Toulouse.
    • S.W. Ellingson, G.A. Hampson, and J.T. Johnson, "Design of an L-Band Microwave Radiometer with Active Mitigation of Interference", IGARSS 2003, Toulouse.
    • G. A. Hampson, S. W. Ellingson, and J. T. Johnson, “Design and Demonstration of an interference suppressing microwave radiometer,” submitted to IEEE Aerospace Conference, 2004.
  • Recent Internal Reports:
    • J. T. Johnson and S. W. Ellingson, “Airborne RFI Measurements using LISA during transit to and in the Wakasa Bay Campaign,” July 7, 2003.
    • S.W. Ellingson and J.T. Johnson, "Airborne RFI Measurements over the Mid-Atlantic Coast using LISA", Feb 10, 2003.
slide9

RFI Issues for Microwave Radiometers

  • A microwave radiometer is a sensitive receiver measuring naturally emitted thermal noise power within a specified bandwidth
  • Human transmission in many bands is prohibited by international agreement; these are the “quiet bands” ideal for radiometry
  • L-band channel quiet band is 1400-1427 MHz: larger bandwidth would improve sensitivity if RFI can be addressed. Ocean salinity missions require extremely high sensitivity.
  • Even within quiet band, RFI has still been observed - possibly due to filter limitations or intermodulation products
  • Many interferers are localized either in time or frequency: should be relatively easy to detect and remove with an appropriate system
slide10

Pulsed interferer (~msec)

Time

Radiometer integration period (~msec)

System Overview

  • Typical radiometer is a very “slow” instrument: power received is integrated up to msec scales by analog system before being digitized
  • Typical radiometer has a single, large bandwidth channel: susceptible to narrow band interference
  • Our design uses a digital receiver to allow much more rapid sampling of incoming data; this rapid sampling improves the ability to mitigate temporally localized RFI
  • Our design also performs a 1024 point FFT operation; improves ability to mitigate spectrally localized RFI
  • Processor must operate in real time so that final data rate can be reduced to a manageable level; implement processor in hardware (FPGA’s)
system block diagram
System Block Diagram

Low-noise

front end

Analog

Downconverter

Digital

Downconverter

Antenna

ADC

Asynchronous Pulse

Blanker

1024 point FFT

Frequency domain

blanker

(not yet implemented)

Integration

Data Recording/

Control

digital back end
Digital Back-End
  • System design includes digital IF downconverter (DIF), asynchronous pulse blanker (APB), FFT stage, and SDP operations
  • Dual channel implementation completed
  • Most blocks on separate boards to simplify testing and reconfiguration
  • Microcontroller interface via ethernet for setting on-chip parameters
  • Second prototype uses Altera "Stratix" FPGA’s: apprx 10000 LE, $260
  • Designs for all components complete; DIF, APB, FFT, SDP, and capture card initial implementations functioning

ADC

Analog

Devices

9410

DIF

APB

FFT

SDP

ADC

100 MSPS I/Q

200 MSPS

current digital back end implementation

ADC

DIF/

APB

FFT

SDP

Capture

ADC

Current Digital Back-End Implementation
  • Modular form used for processor boards: note microcontrollers
  • EEPROM's on each card for autoprogramming of FPGA's on power-up
improved apb algorithm
Improved APB algorithm
  • APB updates mean/variance of incoming time domain signal; a sample > b standard deviations above the mean triggers blanker
  • Previous design had only one “blanking timing register” (BTR); no detection of pulses with a blanking operation in progress
  • New design (green curves) has multiple BTR’s so pulse detection always possible; detections must be separated by NSEP
  • Calibration effects to be corrected in real-time by appropriate scale factors

NBLANK

NWAIT

Threshold

NSEP

spectral domain rfi processing
Spectral Domain RFI Processing
  • A per-bin time domain blanking strategy similar to the APB can be implemented in the SDP component; higher SNR for better blanking
  • Cross frequency algorithms currently under investigation; basic idea is to search for regions of rapid change in spectrum
  • Testing these in software at the moment using integrated data; immense amount of data generated at full sample rate makes full test problematic
  • For true CW interferers, rapid temporal processing is not necessary; software scheme to throw out corrupted bins would be fine
  • Similar to algorithms used for analog sub-band radiometers (e.g. PSR C-band system)
  • Digital receiver gives capability of obtaining a large number of bins (here 1024) as opposed to only a few with analog sub-channels
antenna front end unit
Antenna/Front End Unit
  • Front end Tsys approx. 200K neglecting antenna

Temperature control is

critical to maintain internal

standards; rest of system not

temperature controlled

Still experimenting with

overall system stability

dual channel downconverter
Dual Channel Downconverter
  • One channel is ~1325-1375 MHz, other is ~1375-1425 MHz
  • Downconverter, digital receiver, computer, and thermal control systems in rack inside lab
  • Working with system gain ~70 dB at present: moves –94 dBm in 100 MHz to –24 dBm; this triggers 4-5 ADC bits
slide18

Initial Results: Blanking a Dual Frequency Radar

at Arecibo using the IIP Digital Receiver

The radio telescope at Arecibo, PR suffers from RFI from distant ground-based air search radars

1325-1375 MHz spectra including digital IF, APB, FFT, and integration (42 msec)

Before: ATC radar pulses visible

After: APB removes radar

experiments at osu

Height (m)

Experiments at OSU
  • Experiments designed to demonstrate radiometric accuracy in the presence of interference
  • Observations of a large water tank; external cal sources are ambient absorbers and a sky reflector
  • Highly accurate ground-based radiometry is tough due to contributions from objects not under view, including reflections
  • Keep cal targets exactly the same size as pool to reduce these effects; observations of pool as ambient temp varies also
  • Initial tests in existing RFI; artificial RFI to be added as tests progress
pool and cal targets
Pool and Cal Targets
  • Water pool is approximately 16’ x 32’ by 6” deep; use saline water to decrease skin depth and eliminate sub-pool contributions
  • Absorbers are 12” (a few 18”) to cover the area; mounted on “racks” that can be placed on pool by a team of 2-4 people
  • Reflectors are foil covered foam
  • Temperature of pool, absorbers, and ground around pool all recorded; salinity of pool checked for each experiment
pool and cal targets1

Absorbers: Assume Tb=Tphys

Reflectors: Assume Tb=Tref~Tsky?

Water: Tb~Twat+QTref

Pool and Cal Targets

Possible background

contributions make precise

calibration tough; data analysis

to sort out these effects currently

in progress

results system stability
Results: System Stability
  • Observation of internal loads for approximately 10 hours; total power measurement, no RFI suppression
  • Gain varies appreciably for internal loads, due to uncontrolled cable and downconverter stages
  • Terminator result can be stabilized to <~0.01 dB over 10 hours through use of internal loads
  • Front end temperature controller still has 0.2K variation, plus strange 0.5K step; improvements here may improve stabilize further
current experiment results
Current Experiment Results
  • Hardware integration period 21 msec, switched every 1.33 secs through front end states, every 5 seconds through receiver mode

Horizontally polarized

data, absorber observation

Radar at 1331 MHz

apparent, along with

other more CW RFI

Blanker reduces radar

effects, as well as

saturation problems in

FFT computation

initial calibrated brightnesses
Initial Calibrated Brightnesses
  • Initial results of experiment show promise, although spectral features needing correction are apparent; data shown includes software blanker

RFI contributions

still corrupt measurement

even with blanker on

Results with blanker off

are similar, but further

from model

Real interest here is

total power radiometry;

need good spectral

blanker for this

Data at higher sample

rate will improve software

RFI suppression

slide25

LISA: L-Band Interference Surveyor/Analyzer

S.W. Ellingson, J.T. Johnson, and G.A. Hampson, The Ohio State University

Nadir-looking

cavity-backed spiral

antenna w/ custom LNA

& calibration electronics

in tail radome

NASA’s P-3 Orion Research Aircraft

Maiden LISA Flight: January 2, 2003 from Wallops Island, VA

RF distribution,

antenna unit control &

coherent sampling

subsystem

Spectrum analyzer,

electronics rack &

control console

mounted in cabin

Examples of RFI observed at 20,000 feet

LISA co-observes with existing passive microwave sensors to identify sources of damaging radio frequency interference (RFI)

  • 1200-1700 MHz using broadbeam spiral antenna
  • Spectrum analyzer for full-bandwidth monitoring of power spectral density
  • 14 MHz (8+8 bit @ 20 MSPS) coherent sampling capability for waveform capture and analysis
  • Flexible script command language for system control & experiment automation
lisa wakasa bay campaign
LISA Wakasa Bay Campaign
  • LISA was deployed in the AMSR-E "Wakasa Bay" cal-val campaign; thanks to E. Kim and R. Austin (Co. State) for operations
  • Antenna in P-3 radome: high loss decreased sensitivity
  • On board, permanent RFI for frequencies <~1320 MHz
  • Problems with receiver compression in many cases; high loss helped!
  • Some software/control issues resulted in a few cases of data loss
lisa results summary
LISA Results Summary
  • Campaign produced 8 GB of data: initial software developed to auto-detect large "pulses" > 200 stds above mean
  • Results sorted manually to find interferers localized in time/frequency
  • Numerous ARSR systems observed both in Japan and US; can correlate data versus ARSR position to examine range effects
  • Other radars also observed: chirped, varying pulse widths, multiple frequencies, etc.
  • Japanese data show some wideband channels, also a satellite downlink (1698 MHz); tests with these will challenge simple suppression algorithms
  • Detailed examination of 1411-1425 MHz channel shows numerous

triggers, but signal properties are difficult to classify

  • Captures useful for testing effectiveness of suppression algorithms; will be used in space system design evaluation