Alignment of a 3-D Sensor and a 2-D Sensor Measuring Azimuth and Elevation

Abstract

The problem of aligning two sensors using targets of opportunity is examined in this report, where one of the sensors is a 3-D sensor that measures range, azimuth, and elevation and the other one is a 2-D sensor that measures azimuth and elevation. Both a mathematical model and an alignment algorithm are developed for this problem, where attitude and offset errors in both sensors are included in the formulation. Because of the method used to formulate the problem, it is not possible to determine the individual alignment errors at each sensor. However, it is possible to determine the differences in the respective alignment errors of the two sensors. This is sufficient to align one sensor relative to the other one. For illustrative purposes, the alignment algorithm is applied to simulated data from two sensors. The algorithm converges within 50 sec to values very close to the actual values of the alignment parameters. Using these values, it is possible to obtain a dramatic 23-fold reduction in the relative error between the tracks generated by the sensors.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1992
Accession Number
ADA252120

Entities

People

  • Ronald E. Helmick
  • Theodore R. Rice

Organizations

  • Naval Surface Warfare Center

Tags

Communities of Interest

  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Calibration
  • Computational Science
  • Equations
  • Filtration
  • Kalman Filtering
  • Kalman Filters
  • Mathematical Models
  • Measurement
  • Models
  • Optical Detectors
  • Platforms
  • Simulations
  • Statistical Algorithms
  • Surface Warfare
  • Warfare

Readers

  • Calculus or Mathematical Analysis
  • Computer Vision.
  • Radar Systems Engineering.