USA flag logo/image

An Official Website of the United States Government

USING NEURAL NETWORKS TO RECOGNIZE AGILE EMITTERS: A FEASIBILITY ANALYSIS

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
8906
Program Year/Program:
1988 / SBIR
Agency Tracking Number:
8906
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Netrologic, Inc.
5080 Shorehame Pl, STE 201 San Diego, CA 92122
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1988
Title: USING NEURAL NETWORKS TO RECOGNIZE AGILE EMITTERS: A FEASIBILITY ANALYSIS
Agency / Branch: DOD / NAVY
Contract: N/A
Award Amount: $51,095.00
 

Abstract:

POWERFUL INFORMATION PROCESSING DEVICES CALLED, NEURAL NETWORKS, ARE CURRENTLY BEING APPLIED TO PROBLEMS IN SPEECH RECOGNITION, COMPUTER VISION, MULTI-DIMENSIONAL PROBABILITY DENSITY FUNCTION ESTIMATION, COMBINING UNCERTAIN KNOWLEDGE, AND OTHER DIFFICULT INFORMATION PROCESSING PROBLEMS. THE RESEARCH PROPOSED HEREIN IS AIMED AT ASSESSING THE POTENTIAL OF NEURAL NETWORKS IN SOLVING THE MOST DIFFICULT PROBLEM FACING MODERN NAVAL ELECTRONIC SUPPORT MEASURES (ESM) SYSTEMS, NAMELY, RECOGNIZING EMITTERS WITH TIME VARYING BASIC PARAMETERS IN REAL TIME IN A DENSE RF ENVIRONMENT. NETROLOGIC PROPOSES A RESEARCH PROGRAM CONSISTING OF THREE SUCCESSIVE STAGES: 1) PROBLEM DEFINITION -SPECIFYING THE PROBLEM EMITTER CHARACTERISTICS AS WELL AS SENSOR AND ENVIRONMENTAL PROPERTIES, 2) NETWORK CONFIGURATION -DESIGNING THE NEURAL-NETWORK AND ASSOCIATED CONVENTIONAL PROCESSING TO PERFORM THE RECOGNITION TASK, 3) NETWORK IMPLEMENTATION -SPECIFYING THE COMPUTATIONAL CHARACTERISTICS TO ENABLE A COST-EFFECTIVE AND PRACTICAL IMPLEMENTATION.

Principal Investigator:

Dan greenwood
6192731225

Business Contact:

Small Business Information at Submission:

Netrologic Inc
4241 Jutland Dr San Diego, CA 92117

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