Analysis of Next Generation Sensor Data
Abstract
An algorithm was developed to enumerate, locate, and characterize individual signal sources given observation of their combined signals. No a-priori estimate for the number of sources is required. We assume a forward model exists, and that superposition holds, i.e. coupling between sources is ignored. A system of linear equations y = Ax is set up in which columns of matrix A contain expected signals from many hypothesized sources, and y contains the observed signal. Recently developed solvers designed for linear systems with sparse non-negative solutions make this approach feasible even when large numbers of sources are involved. With each iteration, the collection of hypothesized sources is refined using a Harmony Search algorithm. Application is demonstrated on the problem of locating multiple buried conductors based on electromagnetic induction (EMI) signals observed at ground surface.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 31, 2021
- Accession Number
- AD1187747
Entities
People
- Barry Spargo
- Brandy White
- Dean Keiswetter
Organizations
- Leidos
- United States Naval Research Laboratory