SBIR/STTR Research Award

Development of Low-Noise Smart Sensors for Small Explosion Monitoring

Award identifier 63127d39d2b41eefdb4edb4db526a7444fc741bef9f7c50e702cc241f6ec901bAwarding agency Department of Energy

Award amount

$99,999

Program and phase

SBIR · Phase I

Award year

2007

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Award details

Awarding agency
Department of Energy
Branch
Not reported
Recipient company
Rocky Mountain Geophysics, Llc
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
DE-PS02-06ER06-30
Topic code
43

Research abstract

In the absence of full-scale nuclear tests, a nuclear weapons state typically performs sub-critical nuclear explosions in order to study aging properties of nuclear components as part of a stockpile stewardship program. However, nascent nuclear states may be interested in weaponizing their first generation bombs by miniaturizing components so that they can be fitted onto a missile delivery system. It is therefore important for the United States to have the capability to monitor foreign sites in which these sub-critical experiments may be occurring. In the absence of bilateral or multilateral sub-critical explosion transparency agreements, it becomes important to develop an unobtrusive stand-alone Deployable Small Explosion Monitoring System (DSEMS) system that can be clandestinely deployed near suspected experimental sites. This project will develop a Low-Noise Smart Sensor (LNSS) that would be part of a DSEMS for remotely monitoring sub-critical nuclear explosions. In Phase I, data from sub-critical explosions conducted at the U1a underground facility at the Nevada Test Site will be assembled and analyzed in order to determine the operational characteristics of a low noise smart sensor that would be part of a DSEMS. Additionally, a ground truth noise experiment will be conducted at U1a in order to identify man-made and ambient noise sources that must be differentiated from sub-critical explosions. Through analysis of this U1a signal and noise data, simple and robust signal identification algorithms will be developed for implementation on a small microprocessor. In Phase II, the small microprocessor will be packaged with a low-noise Microelectromechanical System (MEMS) accelerometer, in order to develop an LNSS. Commercial Applications and other Benefits as described by the awardee: In addition to the application for nuclear explosion monitoring, LNSS systems also should have commercial applications to facility monitoring, perimeter monitoring, and border security.

Technology keywords

Not reported

Agency intelligence

Department of Energy

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