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Proceedings Paper

Alignment of a 2D sensor and a 3D radar
Author(s): Ronald E. Helmick; Theodore R. Rice
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Paper Abstract

Integration of sensors into a multi-sensor system requires accurate alignment of all of the sensors in the system. This is an important issue because all of the sensors must be aligned to effectively share data. The presence of alignment errors will degrade the overall system performance. The alignment problem for two sensors, where one of the sensors is a 3-D radar (i.e., it measures the range, azimuth, and elevation) and the other one is a 2-D sensor that measures azimuth and elevation (e.g., an optical sensor), is examined in this paper. It will be assumed that the sensors are relatively close to each other (e.g., the sensors are located on the same platform). The 3-D radar will serve as the master sensor; that is, all of the multi-sensor data will be expressed in the 3-D radar's reference frame and the 2-D sensor will be aligned relative to the 3-D radar. A mathematical model will be developed for this alignment problem, and Kalman filtering techniques will be used to develop the alignment algorithm.

Paper Details

Date Published: 25 November 1992
PDF: 16 pages
Proc. SPIE 1697, Acquisition, Tracking, and Pointing VI, (25 November 1992); doi: 10.1117/12.138165
Show Author Affiliations
Ronald E. Helmick, Naval Surface Warfare Ctr. (United States)
Theodore R. Rice, Naval Surface Warfare Ctr. (United States)


Published in SPIE Proceedings Vol. 1697:
Acquisition, Tracking, and Pointing VI
Michael K. Masten; Larry A. Stockum, Editor(s)

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