
Proceedings Paper
Effect of sensor bias on space-based bearing-only trackerFormat | Member Price | Non-Member Price |
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Paper Abstract
This paper examines the effect of sensor bias error on the tracking quality of a space-based infrared (IR) tracking system
that utilizes a Linearized Kalman Filter (LKF) for the highly non-linear problem of tracking a ballistic missile. The
tracking system consists of two satellites flying in a lead-follower formation tracking a ballistic target. Each satellite is
equipped with an IR sensor that provides azimuth and bearing to the target. The tracking problem is made more difficult
due to a constant, non-varying or slowly varying bias error present in each sensor's line of sight measurements. The
effect of this error on the state vector estimation is explored using different values for sensor accuracy and various
degrees of uncertainty of the target and platform dynamic. Scenarios are created using Satellite Toolkit for trajectories
with associated sensor observations. Mean Square Error results are given for tracking during the period when the target
is in view of the satellite IR sensors. The results of this research provide insight into the accuracy requirements of the
sensors and the suitability of the LKF estimator.
Paper Details
Date Published: 17 April 2008
PDF: 9 pages
Proc. SPIE 6968, Signal Processing, Sensor Fusion, and Target Recognition XVII, 696809 (17 April 2008); doi: 10.1117/12.780126
Published in SPIE Proceedings Vol. 6968:
Signal Processing, Sensor Fusion, and Target Recognition XVII
Ivan Kadar, Editor(s)
PDF: 9 pages
Proc. SPIE 6968, Signal Processing, Sensor Fusion, and Target Recognition XVII, 696809 (17 April 2008); doi: 10.1117/12.780126
Show Author Affiliations
T. M. Clemons III, George Mason Univ. (United States)
K. C. Chang, George Mason Univ. (United States)
Published in SPIE Proceedings Vol. 6968:
Signal Processing, Sensor Fusion, and Target Recognition XVII
Ivan Kadar, Editor(s)
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