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AUTOMATED CLASSIFICATION AND DETECTION OF SONAR SIGNALS USING A PATTERN…

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
10325
Program Year/Program:
1989 / SBIR
Agency Tracking Number:
10325
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Tuskegee Research Institute
5739 Bridle Path Ct Montgomery, AL 36116
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Woman-Owned: No
Minority-Owned: Yes
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1989
Title: AUTOMATED CLASSIFICATION AND DETECTION OF SONAR SIGNALS USING A PATTERN RECOGNITION EXPERT SYSTEM
Agency / Branch: DOD / NAVY
Contract: N/A
Award Amount: $49,132.00
 

Abstract:

THE GOAL OF THIS RESEARCH PROJECT IS THE DEVELOPMENT OF A PATTERN RECOGNITION EXPERT SYSTEM FOR AUTOMATED CLASSIFICATION AND DETECTION OF SONAR SIGNALS. THE EXPERT SYSTEM WILL BE COMPOSED OF TWO PARTS: I) FRONT END SIGNAL PROCESSING SYSTEM TO EXTRACT POWER SPECTRUM PARAMETERS, AND II) AN EXPERT SYSTEM WHICH WILL MAKE DECISIONS ON THE POWER SPECTRUM PARAMETERS BASED UPON A RULE-BASED LIBRARY. THE ULTIMATE GOAL OF THIS EFFORT IS AN AUTOMATED SYSTEM WHICH CAN DETECT AND CLASSIFY BOTH ACTIVE AND PASSIVE SONAR SIGNALS IN NOISY ENVIRONMENTS (LESS THAN -10 DB SNR). BASED UPON PRELIMINARY WORK IN THIS AREA, AN EXPERT SYSTEM HAS BEEN PREVIOUSLY DEVELOPED WHICH CAN EFFECTIVELY DETECT NARROWBAND AND BROADBAND SIGNALS IN -20 DB TO -30 DB SNR ENVIRONMENTS. APPLICATION OF ADDITIONAL CLASSIFICATION RULES WILL FURTHER ENHANCE THE EXISTING SYSTEM SO THAT UNIQUE CLASSIFICATION CAPABILITIES CAN BE ACHIEVED IN NOISY ENVIRONMENTS. THE PHASE I PROPOSED RESEARCH WILL BE COMPOSED OF THE FOLLOWING STAGES: I) COMPUTER MODELING OF EXPERT SYSTEM, II) RULE-BASE DEVELOPMENT, III) SYSTEM INTEGRATION AND REAL-TIME TESTING. ONCE THE BASIC PRINCIPLES OF PHASE I HAVE BEEN ESTABLISHED, PHASE II & III EFFORTS WILL INCORPORATE FULL-SCALE DEVELOPMENTAL EFFORTS TOWARDS AN OPERATIONAL SYSTEM.

Principal Investigator:

John Foster
9198523692

Business Contact:

Small Business Information at Submission:

Tuskegee Research Institute
5739 Bridle Path Ct Montgomery, AL 36116

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