SBIR/STTR Research Award

Shallow Water Bottom Characteristic Measurement Sensors

Award identifier 73b3250e8be8dc47e47dd955be563dba399263fdd309a345c5bfeac607fbd9adAwarding agency Department of Defense · Navy

Award amount

$68,604

Program and phase

SBIR · Phase I

Award year

2001

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
TECHNOLOGY SERVICE CORP
Proposal award date
Not reported
Contract end date
Not reported
UEI
NY98VECEW8H6
Solicitation number
Not reported
Topic code
Not reported

Research abstract

To evolve High Range Resolution based NCTR algorithms for application to shipboard TBMD, Self Defense, and Area Defense missions, the Navy surface radar community needs a comprehensive tool that combines detailed target, propagation, and environmentmodels with a flexible coherent radar model. RF signature models, such as Xpatch, can compute the complex frequency, polarization, and aspect angle RCS dependence of targets. Current NCTR development generally involves application of candidate NCTRalgorithms against idealized radar signal returns calculated from RCS profiles generated by such models. The limitation of this approach is that it does not account for deviations from an idealized signal return, due to radar errors, propagation effects,and natural and man-made interference. Consequently, their effects must later be evaluated through expensive, yet limited, live target testing. TSC proposes to develop a tool that combines detailed radar and environmental models with complex backscattermodeling. It will integrate TSC's Signal Environment Simulation (SENS) - an existing comprehensive coherent radar model - with existing signature models such as Xpatch, and a six degrees of freedom target trajectory model. This tool will provideeffective support for Navy NCTR algorithm development efforts, as well as for predictive or post-test analysis of live target testing.This research and development effort could lead to a unified NCTR development tool capable of modeling all effects fromwaveform generation and transmission through propagation reflection from the target and reception and signal processing. Such a tool provides a unique capability for design and development of NCTR methods and algorithms, as well as a much neededpredictive analysis capability for NAVY testing.

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.

Research funding history

299 SBIR/STTR records share this UEI (1983–2021). Reported award amounts total $121,910,517. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Energy, Department of Commerce

Contractor profile

TECHNOLOGY SERVICE CORP

Historical federal award activity, when published, is on that contractor profile. Matched by UEI only.

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.