Comparative analysis of multiple-lag out-of-sequence measurement filtering algorithms

Mahendra Mallick; Keshu Zhang; X. Rong Li

doi:10.1117/12.506789

5 January 2004 Comparative analysis of multiple-lag out-of-sequence measurement filtering algorithms

Mahendra Mallick, Keshu Zhang, X. Rong Li

Proceedings Volume 5204, Signal and Data Processing of Small Targets 2003; (2004) https://doi.org/10.1117/12.506789
Event: Optical Science and Technology, SPIE's 48th Annual Meeting, 2003, San Diego, California, United States

Abstract

Out-of-sequence measurements (OOSMs) frequently arise in a multi-platform central tracking system due to delays in communication networks and varying pre-processing times at the sensor platforms. During the last few years, multiple-lag OOSM filtering algorithms have received a great deal of attention. However, a comparative analysis of these algorithms for multiple OOSMs is lacking. This paper analyzes a number of multiple-lag OOSM filtering algorithms in terms of optimality, accuracy, statistical consistency, and computational speed. These factors are important for realistic multi-target multi-sensor tracking systems. We examine the performance of these algorithms using a number of examples with Monte Carlo simulations. We present numerical results using simulated data, which includes two-dimensional position and velocity measurements.

Citation Download Citation

Mahendra Mallick, Keshu Zhang, and X. Rong Li "Comparative analysis of multiple-lag out-of-sequence measurement filtering algorithms", Proc. SPIE 5204, Signal and Data Processing of Small Targets 2003, (5 January 2004); https://doi.org/10.1117/12.506789

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