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Proceedings Paper

Nonlinear out-of-sequence measurement filtering with applications to GMTI tracking
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Paper Abstract

Measurements can arrive out-of-sequence at a central tracker due to varying data pre-processing times and communication delays in a multi-sensor target tracking system. A number of single-lag and multiple-lag out-of-sequence measurement (OOSM) filtering algorithms for the linear filtering problem are known in the research literature. In this paper, we present a multiple-lag nonlinear OOSM filtering algorithm based on an extension of the existing multiple-lag linear OOSM filtering algorithm Ground target tracking using multiple airborne ground moving target indicator (GMTI) radar sensors is an important problem in surveillance and precision tracking of ground moving targets. Sensor geometry with two nearly orthogonal GMTI sensors can significantly improve the position measurement accuracy with fast revisit times due to the narrow elliptical nature of the range and cross-range measurement error covariance matrix of a single sensor. We present numerical results for the multiple-lag nonlinear OOSM filtering algorithm using simulated GMTI measurements with nearly constant velocity motion in two dimensions. Our numerical results show that the results from the nonlinear OOSM algorithm are in close agreement with those obtained from the EKF using time-ordered GMTI measurements.

Paper Details

Date Published: 7 August 2002
PDF: 14 pages
Proc. SPIE 4728, Signal and Data Processing of Small Targets 2002, (7 August 2002); doi: 10.1117/12.478512
Show Author Affiliations
Mahendra Mallick, ALPHATECH, Inc. (United States)
Yaakov Bar-Shalom, Univ. of Connecticut (United States)


Published in SPIE Proceedings Vol. 4728:
Signal and Data Processing of Small Targets 2002
Oliver E. Drummond, Editor(s)

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