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Alison Brown
Researcher at University of Colorado Colorado Springs
Publications - 35
Citations - 267
Alison Brown is an academic researcher from University of Colorado Colorado Springs. The author has contributed to research in topics: Global Positioning System & Assisted GPS. The author has an hindex of 8, co-authored 35 publications receiving 266 citations.
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Proceedings ArticleDOI
Digital L-band receiver architecture with direct RF sampling
Alison Brown,B. Wolt +1 more
TL;DR: The flexible "software receiver" architecture has been developed to allow the receiver to be dynamically reconfigured for different applications, which allows the receiver channels to be used for GPS navigation, ionospheric calibration, attitude determination, or even GLONASS navigation simply through software commands.
Test Results of a Digital Beamforming GPS Receiver in a Jamming Environment
Alison Brown,Neil Gerein +1 more
TL;DR: In this paper, the authors describe the operation of a high gain advanced GPS receiver (HAGR) in a jamming environment and include test data collected from the HAGR at the Electronic Proving Grounds, Fort Huachuca, that demonstrate the performance of a digital, beam-steering receiver against interference sources.
Proceedings ArticleDOI
Mathematical aspects of GPS RAIM
F. van Diggelen,Alison Brown +1 more
TL;DR: Two new theorems are presented and proves that provide deeper understanding of receiver autonomous integrity monitoring (RAIM) methods and reveal the surprising result that the navigation solution is independent of the parity vector, given any single set of measurements.
Proceedings ArticleDOI
TIDGET mayday system for motorists
Alison Brown,R. Silva +1 more
TL;DR: The TIDGET sensor as discussed by the authors is a low cost GPS sensor for a GPS mayday service, which does not track the GPS signals, but instead captures a brief "snapshot" of raw GPS sampled data.
Inertial Navigation Electro-Optical Aiding During GPS Dropouts
Alison Brown,Dan Sullivan +1 more
TL;DR: A technique is presented where relative or absolute position estimates derived from onboard captured image data are used to update the inertial navigation solution during GPS dropouts.