Improving the discrimination of unexploded ordnances
Abstract/Contents
- Abstract
- Unexploded ordnances, UXOs, are a significant safety and economic problem in the US and worldwide. Typically, they consist of munitions such as rockets, artillery shells, and missiles. They are buried in unknown locations and present a danger due to both their explosive nature and their environmental impact. Across the US, UXOs are suspected to infest over 15 million acres of land consisting of troop training areas, weapons testing sites, and munitions storage facilities. One of the difficult challenges facing UXO clearance work is discriminating whether a detected target is an UXO and needs to be excavated or an inert object that can be left in the ground. An electromagnetic induction, EMI, sensor is commonly used in UXO clearance work. This research introduces two strategies that change the way the EMI sensor is used in order to improve discrimination. The first strategy is to use more target specific sensor swaths and to use an odometer based positioning system. This research shows that this can improve discrimination over the traditional GPS-based approach because there is less relative error in the sensor position estimates. The next strategy is to use an adaptive sensing algorithm to determine where to move and how to orient an EMI sensor. Allowing the sensor to rotate increases the directions at which the target can be illuminated. The adaptive sensing algorithm exploits this new flexibility to maximize the information obtained during a sensor run, thereby improving UXO discrimination.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Copyright date | 2011 |
| Publication date | 2010, c2011; 2010 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Chen, Alan Yehren |
|---|---|
| Associated with | Stanford University, Department of Aeronautics and Astronautics |
| Primary advisor | Enge, Per |
| Thesis advisor | Enge, Per |
| Thesis advisor | Lo, Sherman Chih |
| Thesis advisor | Rock, Stephen M |
| Advisor | Lo, Sherman Chih |
| Advisor | Rock, Stephen M |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Alan Yehren Chen. |
|---|---|
| Note | Submitted to the Department of Aeronautics and Astronautics. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2011. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2011 by Alan Yehren Chen
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
Also listed in
Loading usage metrics...