SBIR/STTR Research Award

Electrically Tunable Fabry-Perot Spectral Filter

Award identifier adf5f99a63cea73d0be37e2bf48d6b46546b32cde718a15f26e3f6a5dfd564c7Awarding agency Department of Defense · Air Force

Award amount

$50,852

Program and phase

SBIR · Phase I

Award year

1993

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
CAMBRIDGE RESEARCH AND INSTRUMENTATION
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

Frequency-agile Fabry-Perot etalons have been built using the electro-optic actin of nematic and ferro-electric liquid crystals to tune the pass wavelength. Also, techniques exist for constructing liquid crystall elements in 1-D and 2-D arrays. The combination of these technologies would yield spatially addressable, tunable spectral filter elements useful for wavelength-domain optical signal processing. These devices would be compact, rugged, and require very low drive power. However, present commercial and research etalons exhibit unacceptably low finesse (F <= 20) and poor throughput in the visible range. In Phase I, we propose to build an etalon using liquid crystal material, and to assess those factors which limit the optical performance of practical 1-D and 2-D arrays in the visible and near-IR. Also, reliable spectral tuning and characterization of the array elements ot __/100 or better must also be demonstrated. Other concerns include the well-known thermal bowing of liquid crystal cells, and temperature effects of the liquid crystal tuning. These performance-limiting factors will be studied, and approaches developed for implementation in Phase II. We will also characterize the etalon's finess, transmission, extinction, useful spectral range, and response time, when filled with various liquid crystal materials to determine how liquid crystal paramaters (delta-n, ___, k33, Tc) affect overall performance, and to allow use of optimum materials.

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.