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COMMUNICATIONS SIGNAL RECOGNITION AND DEMODULATION VIA NEURAL NETWORKS

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
12947
Program Year/Program:
1990 / SBIR
Agency Tracking Number:
12947
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Signal Analytics Corp
374 Maple Ave E - Ste 200 Vienna, VA 22180
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1990
Title: COMMUNICATIONS SIGNAL RECOGNITION AND DEMODULATION VIA NEURAL NETWORKS
Agency / Branch: DOD / USAF
Contract: N/A
Award Amount: $49,847.00
 

Abstract:

THE GOAL OF THIS PROGRAM IS TO IDENTIFY SPECIFIC NEURAL NETWORK ARCHITECTURES AND ALGORITHMS WHICH ARE APPLICABLE TO COMMUNICATIONS PROBLEMS AND EVALUATE THOSE ARCHITECTURES AND ALGORITHMS VIA SIMULATION AND MODELING. WE DEFINE HEREIN A SYSTEM CONSISTING OF TWO DIFFERENT NEURAL NETWORK PARADIGMS WHICH ARE INTEGRATED TO PERFORM AUTOMATIC IDENTIICATION AND DEMODULATION OF DIGITAL COMMUNICATIONS SIGNAL DATA. THE COMPOSITE NEURAL STRUCTURE WILL MAKE USE OF (A) A SELF ORGANIZING CLUSTERER NETWORK WHICH WILL MONITOR THE FORMATION OF THE DEMODULATED SIGNAL CONSTELLATION AND (B) A MULTILAYERED PERCEPTRON FOR DEMODULATION PARAMETER EXTRACTION. THE TWO NETWORKS THAT WE HAVE CHOSEN TO USE ARE BASED ON WIDELY ACCEPTED PARADIGMS. FURTHEERMORE, OUR PHASE I APPROACH MAKES USE OF COMMERCIAL OFF-THESHELF SOFTWARE WHICH MAY BE DIRECTLY EMBEDDED IN OFF-THE-SHELF INTEGRATED CIRCUITS IN PHASE II.

Principal Investigator:

Dr Robert J Fontana
3015903978

Business Contact:

Small Business Information at Submission:

Signal Analytics Corp
374 Mple Ave E - Ste 200 Vienna, VA 22180

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