Situation Assessment-Based Search Agent

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$99,995.00
Award Year:
1998
Program:
SBIR
Phase:
Phase I
Contract:
n/a
Award Id:
41053
Agency Tracking Number:
41053
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
CHARLES RIVER ANALYTICS (Currently Charles River Analytics Inc.)
One Alewife Center, Cambridge, MA, 02140
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Magnus S. Snorrason
(617) 491-3474
Business Contact:
() -
Research Institution:
n/a
Abstract
We propose to design and prototype a search agent for smart munitions that exploits multiple information sources to aid an automatic target recognition (ATR) system's target acquisition capability. Smart munitions that rely on preprogrammed search paths (the weapon's flight path over the search area) ignore the dynamic nature of a battleground and fail to exploit important information that can be monitored in-flight but cannot be foreseen at launch. For example, unexpected weather events such as sandstorms or blizzards can greatly degrade an ATR sensor's fidelity, but weapons following preprogrammed paths cannot n assessment of the current situation by monitoring events from dynamic onboard data sources such as ATR output and flight performance parameters, and correlating them with static sources such as mission planing data and digital elevation maps. If the resulting situation calls for a new search path, a trajectory optimizer generates a new path (subject to constraints such as know friendly positions) that improves the probability of accomplishing mission objectives. When path choice depends on the enemy's course-of-action, a separate course-of-action prediction module contributes constraints based on identified avenues of mobility and knowledge of the enemy's military organization.

* information listed above is at the time of submission.

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