SBIR/STTR Research Award

Stochastic Characterization of Naval Aircraft Electromagnetic Vulnerability - ElectroMagnetic Susceptibility Threshold Analysis Techniques by Estimati

Award identifier af9a70153030004e0fc82bc1fc0fa40f2948f27aef8ad031bbe206ed4f91ea7cAwarding agency Department of Defense · Navy

Award amount

$68,463

Program and phase

STTR · Phase I

Award year

2008

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
Navy
Recipient company
ANDRO COMPUTATIONAL SOLUTIONS LLC
Proposal award date
2008-07-10
Contract end date
2009-02-10
UEI
RJP8JJQGMKY4
Solicitation number
2008.A
Topic code
N08-T006

Research abstract

Military aircraft come replete with interconnected electronic systems (e.g., communication, radar, and navigation systems). As the operating frequencies broaden and systems become more complex, their proper functioning is increasingly threatened by electromagnetic interference (EMI) from high-power external sources encountered in their operating environments as well as internal sources. Because experimental testing of these systems’ EMC in their operational environments comes late in the acquisition process, simulation tools are needed to gauge their system-level immunity to EMI as early as possible in the program in order to minimize acquisition cost and timeline. For such tools to be useful, they must be capable of accounting for the complexities encountered with this problem. This includes computing the fields within aircraft cockpits, cabins and equipment bays as well as currents on objects such as avionic systems and their interconnecting cables. Computations must be done over a broad frequency range representative of the operational EM environments and a nearly infinite number of source geometries fields on and within these complex structures. Significant uncertainty arises due to the complexity of both the physical structures and the variability of the electromagnetic sources to the point of rendering computational electromagnetic (CEM) codes an inefficient means of addressing this problem. The geometrical complexity of critical electronic systems and cabling found on military aircraft and other systems has increased to the point where classical methods of analysis and numerical computation no longer give satisfactory results for EM coupling, propagation, compatibility and other issues of practical concern. Moreover, these systems face a broad range of intentional and unintentional EMI sources and threats. This effort is aimed at developing new computational technologies, called EMSTATES, that permit the characterization of EMI phenomena in complex systems while accounting for their stochastic nature and uncertainties in their composition and input-output characteristics. A key component of this tool is its ability to quantify the results in a stochastic sense in order to facilitate weapon system performance risk assessments. This effort focuses on methods to combine reverberation and mode-stir measurement insight with electromagnetic field sampling statistics to the current problem.

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

68 SBIR/STTR records share this UEI (1995–2025). Reported award amounts total $39,379,837. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, Department of Homeland Security

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.