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Proceedings Paper

Millimeter wave scattering characteristics and radar cross section measurements of common roadway objects
Author(s): Paul K. Zoratti; R. Kent Gilbert; Ronald Majewski; Jack Ference
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Paper Abstract

Development of automotive collision warning systems has progressed rapidly over the past several years. A key enabling technology for these systems is millimeter-wave radar. This paper addresses a very critical millimeter-wave radar sensing issue for automotive radar, namely the scattering characteristics of common roadway objects such as vehicles, roadsigns, and bridge overpass structures. The data presented in this paper were collected on ERIM's Fine Resolution Radar Imaging Rotary Platform Facility and processed with ERIM's image processing tools. The value of this approach is that it provides system developers with a 2D radar image from which information about individual point scatterers `within a single target' can be extracted. This information on scattering characteristics will be utilized to refine threat assessment processing algorithms and automotive radar hardware configurations. (1) By evaluating the scattering characteristics identified in the radar image, radar signatures as a function of aspect angle for common roadway objects can be established. These signatures will aid in the refinement of threat assessment processing algorithms. (2) Utilizing ERIM's image manipulation tools, total RCS and RCS as a function of range and azimuth can be extracted from the radar image data. This RCS information will be essential in defining the operational envelope (e.g. dynamic range) within which any radar sensor hardware must be designed.

Paper Details

Date Published: 27 December 1995
PDF: 11 pages
Proc. SPIE 2592, Collision Avoidance and Automated Traffic Management Sensors, (27 December 1995); doi: 10.1117/12.228915
Show Author Affiliations
Paul K. Zoratti, Environmental Research Institute of Michigan (United States)
R. Kent Gilbert, Environmental Research Institute of Michigan (United States)
Ronald Majewski, Environmental Research Institute of Michigan (United States)
Jack Ference, National Highway Traffic Safety Administration (United States)


Published in SPIE Proceedings Vol. 2592:
Collision Avoidance and Automated Traffic Management Sensors
Alan C. Chachich; Marten J. de Vries, Editor(s)

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