The effect of various filters on covariance consistency in the presence of a nonlinear tracking problem

Laura J. Ritter; Bradford Weir

doi:10.1117/12.739728

21 September 2007 The effect of various filters on covariance consistency in the presence of a nonlinear tracking problem

Laura J. Ritter, Bradford Weir

Author Affiliations +

Proceedings Volume 6699, Signal and Data Processing of Small Targets 2007; 66990B (2007) https://doi.org/10.1117/12.739728
Event: Optical Engineering + Applications, 2007, San Diego, California, United States

Abstract

The new generation of high resolution radars now being developed present a nonlinear tracking problem due to a combination of long target ranges, small range errors, and relatively imprecise angle measurements. A variety of filtering techniques have been proposed for ameliorating the effects of this non-linearity, including the (debiased) converted measurements Kalman filter and the unscented filter. The benefits of these techniques are often described in terms of tracking error; however, for handover of a dense target complex to downrange sensors, it is as important that the errors be consistent with their ascribed covariance. The purpose of this paper is to identify when the nonlinear conversion bias effects covariance consistency by examining the relative performance of various filtering techniques.

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Laura J. Ritter and Bradford Weir "The effect of various filters on covariance consistency in the presence of a nonlinear tracking problem", Proc. SPIE 6699, Signal and Data Processing of Small Targets 2007, 66990B (21 September 2007); https://doi.org/10.1117/12.739728

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