SBIR/STTR Research Award

The Detection and Location of Buried Metallic and Nonmetallic Targets

Award identifier 787c2b2cd0bf0f633f8e4a45042ac6a730dec91f6aa4f6ed10ec32301d13c26eAwarding agency Department of Defense · Army

Award amount

$69,965

Program and phase

SBIR · Phase I

Award year

1996

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
Army
Recipient company
Anro Engineering, Inc.
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

ANRO is currently under a Phase II SBIR contract to evaluate an Ultra-Wideband (UWB) linear radar array and the processing of co- and cross-polarization returns for detecting and discriminating buried mines. Experiments indicate that both metallic and plastic ines located several inches below the suface are reliably detected using a novel real-time cancellation scheme; however, it appears that target discrimination is not solved, practically, using co- and cross-polarization discrimination alone. The proposed approach will consider information about target size, shape and material that is inherent in the resonant region of co- and cross- polarized backscattered fields independently, as well as both together. To accomplish this, it is shown that reducing the nominal center frequency of the present array from 2.5 GHz to 1 GHz provides reflected signals rich in mine discrimination information. ANRO proposes to sequentially sample the received waveforms such that the microwave responses with bandwidths exceeding 500 MHz are reduced to low frequency video data. These returns can be processed, digitally, in near real-time. Since the istantaneous amplitudes and phases of backscattered pulses will be different for objects with different sizes, shapes and material compositions, a proven neural net approach is proposed to provide the required discrimination of targets.

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.