SBIR/STTR Research Award

Mitigation of the effects of the ionosphere on UEWR

Award identifier 36f72a0d267943cd792d6ef64b34376bc7f35fdddf59fb72fbc53cf38cb786e3Awarding agency Department of Defense · Missile Defense Agency

Award amount

$99,940

Program and phase

SBIR · Phase I

Award year

2012

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
Missile Defense Agency
Recipient company
Wavelet Technologies, Inc.
Proposal award date
2012-02-01
Contract end date
Not reported
UEI
LM5PSFXMYJ81
Solicitation number
2011.2
Topic code
MDA11-034

Research abstract

Wavelet Technologies, Inc. proposes to develop a model of polar ionospheric scintillations to support UEWR operations. This model will begin with a basic model of solar activity through the solar cycle and empirical correlations between solar activity and ionospheric disturbances with monthly resolution. Additional inputs modifying this baseline prediction will incorporate near-real-time indices of geomagnetic disturbance and (HF) ionosonde data. These measurements do not directly address ionospheric scintillations, but can be the basis for a Bayesian model of probabilities. The baseline model will use a statistical model for a phase-changing screen (generated by the baseline model and Bayesian modifications) from which scintillation statistics can be estimated by a propagation model. The statistics of the phase-changing screen can be adjusted (particularly in disturbed ionospheric conditions) by information from tracking of RCS calibration sphere(s) and perhaps by opportunistic observations of space debris. The inverse problem required to update the statistics of the phase-changing screen will be treated by a wavelet-based regularization technique to obtain an estimate of scintillation statistics in disturbed conditions to inform waveform and scheduling decisions. It is expected that these models can be developed based on archived ionospheric data combined with observations of orbiting RCS calibration targets.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

4 SBIR/STTR records share this UEI (2004–2016). Reported award amounts total $407,706. Reported amounts are not federal obligations.

Phases: Phase I

Agencies: Department of Defense

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.