Development of Low-Noise Smart Sensors for Small Explosion Monitoring

Award Information
Agency: Department of Energy
Branch: N/A
Contract: DE-FG02-07ER84740
Agency Tracking Number: 82185
Amount: $99,999.00
Phase: Phase I
Program: SBIR
Awards Year: 2007
Solicitation Year: 2007
Solicitation Topic Code: 43
Solicitation Number: DE-PS02-06ER06-30
Small Business Information
167 Piedra Loop, Los Alamos, NM, 87544
DUNS: 190172713
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Steven Taylor
 Dr
 (505) 412-2841
 srt-rmg@comcast.net
Business Contact
 Pamela Naugle
Title: Ms
Phone: (505) 412-2893
Email: pln-rmg@comcast.net
Research Institution
N/A
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.

* Information listed above is at the time of submission. *

Agency Micro-sites

SBA logo
Department of Agriculture logo
Department of Commerce logo
Department of Defense logo
Department of Education logo
Department of Energy logo
Department of Health and Human Services logo
Department of Homeland Security logo
Department of Transportation logo
Environmental Protection Agency logo
National Aeronautics and Space Administration logo
National Science Foundation logo
US Flag An Official Website of the United States Government