Electromagnetic scattering from buried objects
Abstract
Radar imaging and detection of objects buried in soil has potentially important applications in the areas of nonproliferation of weapons, environmental monitoring, hazardous-waste site location and assessment, and even archeology. In order to understand and exploit this potential, it is first necessary to understand how the soil responds to an electromagnetic wave, and how targets buried within the soil scatter the electromagnetic wave. We examine the response of the soil to a short pulse, and illustrate the roll of the complex dielectric permittivity of the soil in determining radar range resolution. This leads to a concept of an optimum frequency and bandwidth for imaging in a particular soil. We then propose a new definition for radar cross section which is consistent with the modified radar equation for use with buried targets. This radar cross section plays the same roll in the modified radar equation as the traditional radar cross section does in the free-space radar equation, and is directly comparable to it. The radar cross section of several canonical objects in lossy media is derived, and examples are given for several object/soil combinations.
- Authors:
- Publication Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE, Washington, DC (United States)
- OSTI Identifier:
- 10190500
- Report Number(s):
- SAND-94-2361
ON: DE95001858; TRN: 94:021289
- DOE Contract Number:
- AC04-94AL85000
- Resource Type:
- Technical Report
- Resource Relation:
- Other Information: PBD: Oct 1994
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 45 MILITARY TECHNOLOGY, WEAPONRY, AND NATIONAL DEFENSE; 54 ENVIRONMENTAL SCIENCES; 47 OTHER INSTRUMENTATION; SOILS; RADIATION SCATTERING ANALYSIS; UNDERGROUND STORAGE; REMOTE SENSING; WEAPONS; MONITORING; ARCHAEOLOGICAL SITES; NONDESTRUCTIVE ANALYSIS; ABANDONED SITES; UNDERGROUND DISPOSAL; SYNTHETIC-APERTURE RADAR; 450000; 540250; 440700; MILITARY TECHNOLOGY, WEAPONRY, AND NATIONAL DEFENSE; SITE RESOURCE AND USE STUDIES; GEOPHYSICAL AND METEOROLOGICAL INSTRUMENTATION
Citation Formats
Brock, B C, and Sorensen, K W. Electromagnetic scattering from buried objects. United States: N. p., 1994.
Web. doi:10.2172/10190500.
Brock, B C, & Sorensen, K W. Electromagnetic scattering from buried objects. United States. https://doi.org/10.2172/10190500
Brock, B C, and Sorensen, K W. 1994.
"Electromagnetic scattering from buried objects". United States. https://doi.org/10.2172/10190500. https://www.osti.gov/servlets/purl/10190500.
@article{osti_10190500,
title = {Electromagnetic scattering from buried objects},
author = {Brock, B C and Sorensen, K W},
abstractNote = {Radar imaging and detection of objects buried in soil has potentially important applications in the areas of nonproliferation of weapons, environmental monitoring, hazardous-waste site location and assessment, and even archeology. In order to understand and exploit this potential, it is first necessary to understand how the soil responds to an electromagnetic wave, and how targets buried within the soil scatter the electromagnetic wave. We examine the response of the soil to a short pulse, and illustrate the roll of the complex dielectric permittivity of the soil in determining radar range resolution. This leads to a concept of an optimum frequency and bandwidth for imaging in a particular soil. We then propose a new definition for radar cross section which is consistent with the modified radar equation for use with buried targets. This radar cross section plays the same roll in the modified radar equation as the traditional radar cross section does in the free-space radar equation, and is directly comparable to it. The radar cross section of several canonical objects in lossy media is derived, and examples are given for several object/soil combinations.},
doi = {10.2172/10190500},
url = {https://www.osti.gov/biblio/10190500},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1994},
month = {10}
}