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A Revolutionary Wind and Precipitation Scanning Radar for Unmanned Aerial…

Award Information

National Aeronautics and Space Administration
Award ID:
Program Year/Program:
2005 / STTR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Remote Sensing Solutions, Inc.
3179 Main Street, Unit 3, P.O. Box 1092 Barnstable, MA 02630-1105
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2005
Title: A Revolutionary Wind and Precipitation Scanning Radar for Unmanned Aerial Vehicles
Agency: NASA
Contract: NNG05CA96C
Award Amount: $99,424.00


The technical objectives for the proposed Phase I study are:1.Develop a compact, dual-wavelength antenna system capable of electronically scanning or producing multi-beams at different incidence angles, conical scanning and generating matched beams at both wavelengths.2.Determine the optimal frequencies for the dual-wavelength operation that balances resolution, sensitivity, atmospheric attenuation, sea clutter contamination, size and weight. This will include conducting a brief literature review to select a model or develop a model for simulating the radar response to precipitation as a function of frequency and for a range of precipitation rates. Simulation will likely be based on Mie/Rayleigh scattering and attenuation models using a Gamma drop-size distribution shape.3.Develop a compact, power efficient dual-frequency transceiver design that is based on surface mount RF components and low-noise monolithic microwave integrated circuits (MMICs) receivers. While custom MMICSs are available from several vendors, RSS and UMass will develop the low frequency RF and digital circuit board designs.4.Investigate and develop compact, low-voltage power amplifier designs to produce high average power linear transmit signals. Design will need to operate unpressurized at the high altitudes typical of the Global Hawk UAV and similar aircraft.5.Develop advance remote sensing algorithms to interpret the unique sampled data from the proposed instrument and retrieve high resolution maps

Principal Investigator:

James Canniff
Principal Investigator

Business Contact:

James R. Carswell
Small Business Information at Submission:

Remote Sensing Solutions, Inc.
P.O. Box 1092 Barnstable, MA 02630

EIN/Tax ID: 431983861
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
University Of Massachusetts
Knowles Eng Bldg
Amherst, MA 01003
Contact: James Canniff
Contact Phone: (508) 362-9400
RI Type: Nonprofit college or university