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

Mahendra Mallick; Yaakov Bar-Shalom

doi:10.1117/12.478512

7 August 2002 Nonlinear out-of-sequence measurement filtering with applications to GMTI tracking

Mahendra Mallick, Yaakov Bar-Shalom

Proceedings Volume 4728, Signal and Data Processing of Small Targets 2002; (2002) https://doi.org/10.1117/12.478512
Event: AeroSense 2002, 2002, Orlando, FL, United States

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.

Citation Download Citation

Mahendra Mallick and Yaakov Bar-Shalom "Nonlinear out-of-sequence measurement filtering with applications to GMTI tracking", Proc. SPIE 4728, Signal and Data Processing of Small Targets 2002, (7 August 2002); https://doi.org/10.1117/12.478512

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