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Proceedings Paper

Out-of-sequence track filtering using the decorrelated pseudo-measurement approach
Author(s): Mahendra Mallick; Steven Schmidt; Lucy Y. Pao; K. C. Chang
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Paper Abstract

Most practical multi-platform data fusion systems use the distributed tracking architecture where each sensor platform has its own local tracker. A local tracker performs tracking using measurements from one or more sensors and sends its track data to a central fusion system. When the track data from a local tracker is transmitted to the central fusion system using a communication network, the track data can arrive out-of-sequence due to random delays in the communication network and different processing times at local trackers. Track-to-track fusion using the equivalent decorrelated pseudo-measurement approach is an efficient algorithm for the distributed tracking problem. In this paper, we use an existing multiple-lag out-of-sequence measurement (OOSM) algorithm and the decorrelated pseudo-measurement approach for track-to-track fusion of out-of-sequence track (OOST) data. We present numerical results using simulated data for a scenario where a global tracker processes track data from two local trackers. Each local tracker processes two-dimensional position and velocity measurements from a single sensor. We use Monte Carlo simulations to evaluate the performance of the algorithm.

Paper Details

Date Published: 25 August 2004
PDF: 13 pages
Proc. SPIE 5428, Signal and Data Processing of Small Targets 2004, (25 August 2004); doi: 10.1117/12.542934
Show Author Affiliations
Mahendra Mallick, Lockheed Martin Orincon Corp. (United States)
Steven Schmidt, Lockheed Martin Orincon Corp. (United States)
Lucy Y. Pao, Univ. of Colorado (United States)
K. C. Chang, George Mason Univ. (United States)


Published in SPIE Proceedings Vol. 5428:
Signal and Data Processing of Small Targets 2004
Oliver E. Drummond, Editor(s)

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