DocumentCode
343602
Title
Polarimetric radar measurements for vehicle control and warning applications
Author
Li, E.S. ; Sarabandi, K.
Author_Institution
EMAG Technol. Inc., Ann Arbor, MI, USA
Volume
3
fYear
1999
fDate
11-16 July 1999
Firstpage
2004
Abstract
The idea to use a radar for automotive braking and even steering is not new. Some 35 years ago, in the mid-sixties, the Radiation Laboratory made RCS measurements on tree trunks, stop signs, cement walls, and humans to determine if the targets could be identified from the (limited) RCS data. Unfortunately the results were not encouraging. For example, a tree truck along the side of a road could have similar return magnitude as a human. At that time only single-frequency and co-polarized data, are available. The introduction of radar polarimetry technique provides a new approach to achieve the goal of the early study. Since 1995, the Sarabandi group from the Radiation Laboratory has successfully developed models to predict the backscatter response from road surfaces and to detect debris and faults on road surfaces. In this article, the theory behind the analytical modeling is explained. Then, the experimental results are presented to justify the validity of the developed models.
Keywords
backscatter; electromagnetic wave scattering; radar cross-sections; radar polarimetry; road vehicle radar; RCS data; RCS measurements; Radiation Laboratory; analytical modeling; automotive braking; automotive steering; backscatter response; cement walls; co-polarized data; debris detection; experimental results; humans; polarimetric radar measurements; radar polarimetry; return magnitude; road surface faults; road surfaces; single-frequency data; stop signs; tree trunks; vehicle control application; vehicle warning application; Automotive engineering; Backscatter; Humans; Laboratories; Predictive models; Radar cross section; Radar measurements; Radar polarimetry; Roads; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Antennas and Propagation Society International Symposium, 1999. IEEE
Conference_Location
Orlando, FL, USA
Print_ISBN
0-7803-5639-x
Type
conf
DOI
10.1109/APS.1999.788353
Filename
788353
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