Multi-agent Architecture for Robust Adaptive Decision-aiding (MARAD)

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$728,793.00
Award Year:
2001
Program:
SBIR
Phase:
Phase II
Contract:
N61339-00-C-0084
Award Id:
48392
Agency Tracking Number:
A992-0592
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
727 Airport Boulevard, Ann Arbor, MI, 48108
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
197187602
Principal Investigator:
Nestor Voronka
Director of Research
(734) 668-2567
dan@tridsys.com
Business Contact:
Heidi Jacobus
() -
dan@tridsys.com
Research Institution:
n/a
Abstract
Today's ground vehicles primarily utilize the NAVSTAR Global Positioning System (GPS) for positioning and navigation (POS/NAV) which produces moderately accurate results. High accuracy POS/NAV is achieved is achieved using integrated systems that arelarge, heavy, and prohibitively expensive for large-scale deployment. Modern battlefield scenarios would greatly benefit if all ground vehicles could determine their position with high accuracy. There is also a growing non-military demand for vehiclenavigation systems that are highly accurate and can operate when GPS signals are obscured. A system comprised of a GPS receiver augmented with low-cost sensors that individually yield only moderately accurate data when integrated together produces ahighly accurate result. In our Phase I effort we developed a system that uses inexpensive accelerometers, gyroscopes, magnetometers, and vehicle wheel sensors coupled with high fidelity models of the earth's gravity and magnetic fields. Using low-cost,high performance digital signal processors (DSPs), sophisticated mathematical filters can produce high fidelity position and heading information. T use of these passive sensors is key to providing POS/NAV solutions in cases where GPS signals areunavailable due to satellite signal availability problems, enemy jamming conditions, and obstacles such as buildings common in

* information listed above is at the time of submission.

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