Isolating and Discriminating Overlapping Signatures in Cluttered Environments
Abstract
SERDP project MR-1664 entitled "Isolating and Discriminating Overlapping Signatures in Cluttered Environments" is approximately halfway complete. Significant progress has been made in working toward the original objectives of the project. Three new methods for localizing multiple sources in close proximity using EMI data have been developed and tested. Specifically, these methods are: A multiple dipole search method based on a gradient search algorithm utilizing an analytical Jacobian (see Sec. 4.2) A combined Joint Diagonalization (JD) and Orthonormalized Volume Magnetic Source (ONVMS) method (see Sec. 4.3) Source localization based MUSIC algorithm applied to EMI data (see [1]) Canonical targets of various shapes, sizes and material parameters have been fabricated (see Sec. 4.1. Data acquired from these targets as well as standard UXO targets has been acquired by the TEMTADS and MPV2 instruments in many multitarget configurations (see Sec. 4.1). The methods developed to date under this MR-1664 have been able to isolate and discriminate up to six targets simultaneously in the case of lab data (see Sec. 5). The JD method is able to almost instantaneously provide a good estimate for the number of distinct targets in the EMI data. After this estimate is obtained, the first or second methods delineated above (and described below) are used to invert for the parameters of the N identified targets. Benjamin Barrowes,
Document Details
- Document Type
- Technical Report
- Publication Date
- May 11, 2011
- Accession Number
- ADA544875
Entities
People
- Ben Barrowes
- Fridon Shubitidze
Organizations
- Engineer Research and Development Center