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Advanced Algorithms for Attack of Moving Targets (A3MT)

Award Information

Department of Defense
Award ID:
Program Year/Program:
2006 / 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 2
Fiscal Year: 2006
Title: Advanced Algorithms for Attack of Moving Targets (A3MT)
Agency / Branch: DOD / ARMY
Contract: W15QKN-06-C-0186
Award Amount: $729,999.00


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. In Phase I of this effort, CHI Systems prototyped a reusable software component called Advanced Algorithms for Attack of Moving Targets (A3MT). A3MT uses terrain and mobility reasoning; friendly joint weapon system characteristics; and sensor updates to accurately predict the future location of moving targets for attack. A3MT encapsulates the expertise currently required of forward observers for hitting moving targets, and automates it for use in future force and legacy targeting systems. In Phase II, CHI Systems will extend and refine the A3MT algorithms and component implementation, in order to transition this critical capability to use with network-centric joint targeting systems such as AFATDS and TBMCS.

Principal Investigator:

Ken Graves
Principal Investiagtor

Business Contact:

Phil Rollhauser
Director of Contracts
Small Business Information at Submission:

1035 Virginia Drive Fort Washington, PA 19034

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