Optimal Sensor Management and Signal Processing for New EMI Systems
Abstract
This document serves as the Interim Report on the project titled "Optimal Sensor Management for Next-Generation EMI Systems" (MM-1708). A significant problem with next-generation EMI systems is the time required to collect all data, and this limitation often necessitates a priori hardware compromises that undermine subsequent system performance. SIG had proposed adaptive approaches that would allow one to retain full EMI hardware functionality, while jointly optimizing the accuracy of the extracted geophysical parameters of buried anomalies and the use of available resources (data collection time and battery power). SIG has developed an adaptive sensor-management architecture for next-generation EMI systems, while also being applicable for optimal deployment of existing man-portable (hand-held) systems. We have successfully implemented this framework on the TEMTADS and MetalMapper sensor systems two of the next-generation multi-axis multi-sensor systems that produced superior UXO discrimination performance during the recently conducted SLO demonstration study. Our analysis shows that by actively selecting the sequence of transmitters and receivers for data collection, one could extract model parameters of buried anomalies using only a fraction of the available Tx-Rx combinations, and thereby saving data collection time and energy resources. The developed framework has also been tested on simulated handheld equivalent of a TEMTADS system, enabling us to compare the performance of a handheld system with respect to the towed-array system. Similar analysis on MetalMapper data shows that one may use only a subset of the available receivers to obtain accurate inversion of geophysical parameters, thereby suggesting a compact hardware design for the MetalMapper system in future without sacrificing the quality of collected data.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 2010
- Accession Number
- ADA534216
Entities
People
- Lawrence Carin
- Levi Kennedy
- Nilanjan Dasgupta
Organizations
- Signal Innovations Group, Inc.