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Proceedings Paper

Comparison of methodologies for mitigating coordinate transformation bias in target tracking
Author(s): Michael D. Miller; Oliver E. Drummond
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Paper Abstract

Nonlinearities in coordinate transformation equations introduce bias that, unless corrected, can affect the statistical fidelity of parameter estimates. Several correction methods have been studied, differing both in their algebraic form (additive versus multiplicative) and in their underlying statistical basis (fixed-truth versus fixed-measurement scenario assumptions). This paper, extending previous work of the authors and others, compares alternative approaches for mitigating the bias induced in the transformation of the target position measurements from sensor range-azimuth-elevation angle coordinates to Cartesian x-y-z coordinates. Comparisons are made initially for a static tracking environment involving coordinate transformations at a single measurement time. The comparisons are then extended to a time-sustained tracking period in which sequential measurements are passed through a Kalman filter to produce a track estimate.

Paper Details

Date Published: 13 July 2000
PDF: 14 pages
Proc. SPIE 4048, Signal and Data Processing of Small Targets 2000, (13 July 2000); doi: 10.1117/12.391996
Show Author Affiliations
Michael D. Miller, RAND Corp. (United States)
Oliver E. Drummond, Consulting Engineer (United States)


Published in SPIE Proceedings Vol. 4048:
Signal and Data Processing of Small Targets 2000
Oliver E. Drummond, Editor(s)

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