Paper
25 November 1992 Alignment of a 2-D sensor and a 3-D radar
Ronald E. Helmick, Theodore R. Rice
Author Affiliations +
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.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ronald E. Helmick and Theodore R. Rice "Alignment of a 2-D sensor and a 3-D radar", Proc. SPIE 1697, Acquisition, Tracking, and Pointing VI, (25 November 1992); https://doi.org/10.1117/12.138165
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Cited by 1 scholarly publication.
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KEYWORDS
Sensors

Radar

3D metrology

3D acquisition

Algorithm development

Filtering (signal processing)

Target acquisition

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