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APPLICATION OF AI TECHNIQUES TO THE DEVELOPMENT OF ADAPTIVE JAMMER POWER…

Award Information

Agency:
Department of Defense
Branch:
Army
Award ID:
6286
Program Year/Program:
1987 / SBIR
Agency Tracking Number:
6286
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
PREDICTION SYSTEMS, INC.
309 Morris Avenue Suite G Spring Lake, NJ 07762
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1987
Title: APPLICATION OF AI TECHNIQUES TO THE DEVELOPMENT OF ADAPTIVE JAMMER POWER MANAGEMENT
Agency / Branch: DOD / ARMY
Contract: N/A
Award Amount: $78,154.00
 

Abstract:

JAMMER POWER MANAGEMENT REQUIRES SIGNIFICANT EXPERTISE COVERING THE RECOGNITION OF OPPORTUNITIES, AND KNOWLEDGE OF EW SYSTEM CAPABILITIES SYSTEMS TO TAKE ADVANTAGE OF THOSE OPPORTUNITIES. THERE IS DOUBT THAT MANY OF THE FUNCTIONS OF JAMMER POWER MANAGEMENT CAN BE AUTOMATED. FOR EXAMPLE, ELECTROMAGNETIC PATTERN OPTIMIZATION IN THE SPACE, TIME, AND FREQUENCY DOMAINS, PARTICULARLY THE SELECTION OF FREQUENCY COVERAGE AND MODULATION, LEND THEMSELVES TO AUTOMATION SUPPORT SYSTEMS. HOWEVER, REPLICATING THE KNOWLEDGE OF AN EXPERT IN THE WAY THAT THEY WOULD DECIDE TO SELECT THESE FUNCTIONS GOES WELL BEYOND AUTOMATION AIDS. PSI HAS BEEN DEVELOPING AN EXPERT SYSTEM SIMULATION FACILITY TO PERFORM AI-BASED EXPERIMENTS. THIS FACILITY PROVIDES AN ELECTROMAGNETIC ENVIRONMENT AND EW EQUIPMENT MODELING CAPABILITY TO COLLECT THE TYPES AND AMOUNT OF DATA NEEDED TO PERFORM THE REQUIRED EW ANALYSES. THE USE OF AI TECHNIQUES TO DEVELOP ADAPTIVE JAMMER STRATEGIES APPEARS TO BE AN EXCELLENT OPPORTUNITY TO DEMONSTRATE PSI'S EXPERT SYSTEM SIMULATION ENVIRONMENT. IN ADDITION, THE FACILITIES PROPOSED CAN SUPPORT THE ANALYSIS, DESIGN AND EVALUATION OF THE APPLICATION OF AI TECHNIQUES TO THE DEVELOPMENT OF ADAPTIVE POWER MANAGEMENT STRATEGIES.

Principal Investigator:

William c cave
2012235000

Business Contact:

Small Business Information at Submission:

Prediction Systems Inc
200 Atlantic Ave Manasquan, NJ 08736

EIN/Tax ID:
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No