SBIR/STTR Research Award

SEEKER-TO-TARGET CLOSURE SIMULATOR

Award identifier 0fab8375d545263d1afa922aef40527e56172c43abba8ade2e9cdc58bb6353dcAwarding agency Department of Defense · Air Force

Award amount

$200,000

Program and phase

SBIR · Phase II

Award year

1987

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
Electro-optek Corp
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

THE DEVELOPMENT OF THE SILICON RESISTOR ARRAY TECHNOLOGY HAS BEEN PROPOSED TO FABRICATE AN IR (INFRARED) AIR TARGET SIMULATOR SPECIFICALLY FOR SIMULATING, TESTING AND MODELING OF SEEKER-TO-TARGET RANGE CLOSURE CONDITIONS. EACH RESISTOR HEATED BY A PASSAGE OF CURRENT ACTS AS A BLACKBODY RADIATOR, AND THIS CURRENT IS INDIVIDUALLY CONTROLLED BY A MOS (METAL-OXIDE-SEMICONDUCTOR) CIRCUIT (ONE OF EACH RESISTOR). THE WHOLE ARRAY MAY BE PROGRAMMED TO PROVIDE A SINGLE IR TARGET OR A CONTINUOUS CHANGING EXTENDED TARGET TO SIMULATE THE HOMING EFFECT OF A SEEKER SENSOR ONTO THE TARGET. THE PROPOSED EFFORT IN PHASE I OF A THREE PHASE PROGRAM, WITH PHASE I TASKED TO DESIGN A TEST MOS-RESISTOR ARRAY AIMED AT DEMONSTRATIG THE CRITICAL ELEMENTS OF MOS-RESISTOR FORMATION AND FLICKER CONTROL. A PRELIMINARY DESIGN OF AN OPTICAL SYSTEM TO SIMULATE SEEKER-TO-TARGET CLOSURE IS ALSO MADE IN PHASE I.

Technology keywords

Not reported

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.