Processing for Clutter Evasion in UXO Discrimination
Abstract
Innovative signal processing techniques, derived from basic physics, were applied to electromagnetic induction data to enhance its suitability for UXO discrimination processing. In all simulations and field tests, upward continuation (UC) of surface data succeeded in suppressing clutter signals relative to those from deeper UXOs. This was the case even when the clutter signal was two to three times the strength of the broader UXO response in which it was embedded. Downward continuation (DCN) for the purposes of focusing on subsurface source locations is inherently more problematical, and is only recommended with caution. Ill-conditioning and attendant amplification of signal noise tends to plague DCN, and is likely to occur to some degree even in UC. Methods were identified and developed for analyzing and controlling such ill-conditioning reliably by spectral truncation. The predictive methods here require no particular target models, no optimizations, and no searches for target location, orientation, and properties. Altogether, the results of the project form the basis for development of simple and fast "model-free" discrimination algorithms.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 13, 2008
- Accession Number
- ADA603918
Entities
People
- Kevin O Neill
Organizations
- United States Army Corps of Engineers