Next Article in Journal
Sensor Networks in the Low Lands
Previous Article in Journal
Data Collection Framework for Energy Efficient Privacy Preservation in Wireless Sensor Networks Having Many-to-Many Structures
Article Menu

Export Article

Open AccessArticle
Sensors 2010, 10(9), 8491-8503; doi:10.3390/s100908491

Accurate Permittivity Measurements for Microwave Imaging via Ultra-Wideband Removal of Spurious Reflectors

1
United States Department of Agriculture, Agricultural Research Services, Lubbock TX, 79403 USA
2
Sensors Group Microsemi Corp. Lowell MA, 01851 USA
*
Author to whom correspondence should be addressed.
Received: 5 August 2010 / Revised: 31 August 2010 / Accepted: 1 September 2010 / Published: 10 September 2010
(This article belongs to the Section Chemical Sensors)
View Full-Text   |   Download PDF [876 KB, uploaded 21 June 2014]   |  

Abstract

The use of microwave imaging is becoming more prevalent for detection of interior hidden defects in manufactured and packaged materials. In applications for detection of hidden moisture, microwave tomography can be used to image the material and then perform an inverse calculation to derive an estimate of the variability of the hidden material, such internal moisture, thereby alerting personnel to damaging levels of the hidden moisture before material degradation occurs. One impediment to this type of imaging occurs with nearby objects create strong reflections that create destructive and constructive interference, at the receiver, as the material is conveyed past the imaging antenna array. In an effort to remove the influence of the reflectors, such as metal bale ties, research was conducted to develop an algorithm for removal of the influence of the local proximity reflectors from the microwave images. This research effort produced a technique, based upon the use of ultra-wideband signals, for the removal of spurious reflections created by local proximity reflectors. This improvement enables accurate microwave measurements of moisture in such products as cotton bales, as well as other physical properties such as density or material composition. The proposed algorithm was shown to reduce errors by a 4:1 ratio and is an enabling technology for imaging applications in the presence of metal bale ties.
Keywords: ultra-wideband; uwb; microwave imaging; permittivity; moisture sensing; hidden object detection ultra-wideband; uwb; microwave imaging; permittivity; moisture sensing; hidden object detection
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Pelletier, M.G.; Viera, J.A.; Wanjura, J.; Holt, G. Accurate Permittivity Measurements for Microwave Imaging via Ultra-Wideband Removal of Spurious Reflectors. Sensors 2010, 10, 8491-8503.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top