NEURAL NETWORK CONTROLLED AUTOMATIC GAIN CONTROL FOR LOW COST IR SENSORS.

Award Information
Agency:
Department of Defense
Branch:
Navy
Amount:
$54,458.00
Award Year:
1991
Program:
SBIR
Phase:
Phase I
Contract:
N/A
Agency Tracking Number:
15565
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Tanner Research Inc
444 N Altadena Drive, Pasadena, CA, 91107
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
N/A
Principal Investigator
 Massimo Sivilotti
 Principal Investigator
 (818) 795-1696
Business Contact
Phone: () -
Research Institution
N/A
Abstract
LOW-COST SMART SENSORS WILL BE AN INTEGRAL PART OF NEXTGENERATION WEAPONS SYSTEMS. WE PROPOSE TO RESEARCH AND DEVELOP ADVANCGD NEURAL NETWORK ARCHITECTURES SUITABLE FOR INTEGRATION WITH IR SENSORS, EITHER AT THE FOCAL PLANE ITSELF OR TIGHTLY COUPLED TO EXISTING IMAGERS, TO PROVIDE THE HIGHBANDWIDTH SIGNAL PROCESSING REQUIRED TO MEET THESE SYSTEM SPECIFICATIONS. PHASE I WILL INCLUDE THE DESIGN AND FABRICATION OF PROTOTYPE CUSTOM INTEGRATED CIRCUITS TO IMPLEMENT A NETWORK TO PERFORM AN AUTOMATIC GAIN CONTROL (AGC) TASK.OUR APPROACH WILL BE TO UTILIZE COMMERCIALLY AVAILABLE CMOS/BULK INTEGRATED CIRCUIT TECHNOLOGY TO IMPLEMENT THE NEURAL NETWORK, IN CONJUNCTION WITH AN EXISTING IR FOCAL PLANE ARRAY SENSOR. THE NETWORK WILL ACCEPT ANALOG INPUTS FROM THE SENSOR ARRAY, AND PRODUCE OUTPUT SIGNALS OF RELATIVELY CONSTANT DYNAMIC RANGE. THE SELECTION OF TECHNOLOGY IS INTENDED TO PERMIT ECONOMICAL AND RELIABLE FABRICATION OF THE NEURAL NETWORK, BY A NUMBER OF VENDORS. WE HAVE ALREADY DEMONSTRATED THE USE OF SUCH TECHNOLOGIES TO FABRICATE CONTINUOUS-TIME ANALOG NEURAL NETWORKS INTEGRATED WITH VISIBLE-LIGHT PHOTOSENSORS TO EXTRACT MOTION INFORMATION FROM A VISUAL SCENE. WE HAVE ALSODEMONSTRATED INTEGRATED SENSOR ARRAYS/NEURAL NETWORKS TO DO REAL-TIME FEATURE DETECTION OVER FIXED-SIZE RECEPTIVE FIELDS.

* information listed above is at the time of submission.

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