Radar detection of buried targets in coastal environments

Chad M. Brode, Ram M. Narayanan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Coastal soils offer a number of challenges in electromagnetic remote sensing applications. They are highly saline owing to their constant contact with salt water resulting in high values for the real and imaginary parts of their permittivity. Due to this fact, it is desirable to model these properties and determine how they will affect the detection and location of targets buried in coastal soil environments. We examined the propagation of a plane wave with three different incidence angles on a cubic perfect electric conductor (PEC) target contained within an semi-infinite dielectric material with the same properties as the soil. This response was then compared to that of a baseline target with no dielectric surrounding it and a dielectric mimicking dry sandy soil. The results show that the signal is both highly reflected at the surface of the wet coastal soil, and significantly attenuated as it propagates through the wet soil dielectric. The results of our modeling and simulation studies over a wide range of conditions (e.g. frequency, soil salinity, burial depth, etc.) are presented and trade-offs examined in order to develop a cognitive radar system for enhancing target detection and clutter suppression.

Original languageEnglish (US)
Title of host publicationRadar Sensor Technology XXI
EditorsArmin Doerry, Kenneth I. Ranney
PublisherSPIE
ISBN (Electronic)9781510608771
DOIs
StatePublished - 2017
EventRadar Sensor Technology XXI 2017 - Anaheim, United States
Duration: Apr 10 2017Apr 12 2017

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10188
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Other

OtherRadar Sensor Technology XXI 2017
Country/TerritoryUnited States
CityAnaheim
Period4/10/174/12/17

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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