Active Broadband EM Detection and Classification of Buried Naval Mines

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$444,522.00
Award Year:
2004
Program:
SBIR
Phase:
Phase II
Contract:
N00014-03-C-0339
Agency Tracking Number:
N01-186-09
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
GEOPHEX LTD.
605 Mercury Street, Raleigh, NC, 27603
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
148040447
Principal Investigator:
Stephen Norton
Physicist
(919) 839-8515
norton@geophex.com
Business Contact:
Steven Daib
Contract Administrator
(919) 839-8515
sdaib@geophex.com
Research Institution:
n/a
Abstract
We propose a new active broadband electromagnetic (EM) sensor to detect and classify naval mines buried in the littoral. The sensor will work like an underwater metal detector, but it will operate at multiple programmable frequencies suitable to a given littoral environment. Once it detects a potential target, the sensor will interrogate the target and measure its spectral responses (inphase and quadrature) over the entire operating bandwidth. The sensor will then compare the measured spectrum with a library of spectra stored for mines that are known or presumed to occur in the survey area. The process will generate a rank-ordered list of spectral matches. As the sensor finds new mines at a site, it can expand its spectral library - a "learn as you go" approach. The proposed active EM sensor can be used as a "confirmation sensor" when it is integrated with other sensors such as passive magnetometers and sonars. A mathematical framework will be developed to interface this data with fusion algorithms being pursued for buried minehunting. In addition, the sensor will serve in a dual role to simultaneously measure the conductivities of the seawater and bottom sediment, which can be used to derive sediment density and porosity, providing important environmental data for mine warfare. Target classification based on the spectral fingerprints is called Electromagnetic Induction Spectroscopy or EMIS. It is known that an EMIS spectrum depends on the object's shape and metal compositions in terms of electrical conductivity and magnetic permeability. Apart from a possibility of direct detection of explosives, EMIS is the only rigorous, physics-based phenomenology for identifying buried mines. The EMIS algorithms, validated for land mines, will be modified for the classification of buried sea mines to provide computer-automated target recognition. This proposal addresses developments of both sensor hardware and EMIS-based software to solve the buried naval mine detection and classification problem.

* information listed above is at the time of submission.

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