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Passive Millimeter-Wave Imaging Camera System Using Optical Up-Conversion in Sparse Array Configuration

Award Information
Agency: Department of Defense
Branch: Army
Contract: W909MY-19-C-0009
Agency Tracking Number: A18B-017-0247
Amount: $149,999.12
Phase: Phase I
Program: STTR
Solicitation Topic Code: A18B-T017
Solicitation Number: 18.B
Timeline
Solicitation Year: 2018
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-04-16
Award End Date (Contract End Date): 2019-10-16
Small Business Information
5671 Sheehan ct
Dublin, OH 43016
United States
DUNS: 080499055
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Markus Novak
 President
 (614) 425-8083
 markushnovak@gmail.com
Business Contact
 Markus Novak
Phone: (614) 425-8083
Email: markus@novaarf.com
Research Institution
 Florida International University
 Roberto Gutierrez Roberto Gutierrez
 
11200 SW 8th Street CSC 319
Miami, OH 33199
United States

 (305) 348-2494
 Nonprofit College or University
Abstract

The objective of this proposal is to enable high-sensitivity, passive imaging system of natural mm-wave emissions, which can be used as standalone or fused with other imaging modality such as conventional IR imagery in degraded environments. This is achieved through a unique antenna integrated electro-optic (EO) modulator, where received mm-wave signals modulate an optical carrier. The optical carrier is then removed using an optical band pass filter, and the remaining sideband is projected onto a commercial off the shelf (COTS) Near-IR camera. The antenna integrated EO modulator thereby entirely eliminates active RF electronics in the front-end, requires only COTS optical source and a photo detector. This topology eliminates the need for bulky front-end lenses. The mmW antenna integrated EO modulator allows for high sensitivity at video rates, sub-1°K temperature resolution, and broad field of view (>20°) capability. Additionally, the proposed mmW detector is produced with standard lithography fabrication techniques, COTS hardware, and leverages sparse array techniques to reduce hardware cost.

* Information listed above is at the time of submission. *

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