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Advanced Algorithms for Attack of Moving Targets (A3MT)

Award Information

Department of Defense
Award ID:
Program Year/Program:
2005 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
CHI Systems, Inc.
2250 Hickory Road Suite 150 Plymouth Meeting, PA 19462-
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2005
Title: Advanced Algorithms for Attack of Moving Targets (A3MT)
Agency / Branch: DOD / ARMY
Contract: W15QKN-06-C-0013
Award Amount: $69,976.00


In Effects Based Operations (EBO), we apply the proper joint lethal and nonlethal effects to gain a desired outcome. At the tactical level, EBO translates to time critical targeting (TCT), where joint assets must be quickly targeted to obtain effects on a fleeting or moving ground target,. The moving target problem is complex. However, it must be solved if TCT is to become viable within the EBO context. Currently, none of the major joint force targeting systems can predict the future location of a moving ground target with sufficient accuracy to target it. CHI Systems intends to solve this problem by creating a reusable software component called Advanced Algorithms for Attack of Moving Targets (A3MT). A3MT will use terrain and mobility reasoning; friendly joint weapon system characteristics; and sensor updates to accurately predict the future location of hostile targets for attack. A3MT will encapsulate the expertise currently required of forward observers for hitting moving targets, and make it available to future force and legacy targeting systems such as AFATDS. A3MT will provide the means to allow some legacy systems such as AFATDS to transition to the future force, and provide risk reduction for future force networked fires and effects systems.

Principal Investigator:

Ken Graves
Principal Investigator

Business Contact:

Phil Rollhauser
Director of Contracts
Small Business Information at Submission:

1035 Virginia Drive, Suite 300 Fort Washington, PA 19034

EIN/Tax ID: 232387734
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No