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Proceedings Paper

Algorithm comparison for autonomous distributed fusion
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Paper Abstract

The concept of network centric operations is a process the military is just beginning to struggle with. Distributed information and data fusion provides the foundation to determine target track state estimation within a network centric structure. This paper addresses the overall effectiveness of two popular fusion approaches - the information filter and the channel filter for selected network architectures. Specifically, we compare algorithm performance for two special network cases - the cyclic network and the broadcast network. We will show the scalability of the channel filter when agents are added to the cyclic network and provide an assessment under conditions of random link failure between agents.

Paper Details

Date Published: 17 May 2006
PDF: 10 pages
Proc. SPIE 6235, Signal Processing, Sensor Fusion, and Target Recognition XV, 62350T (17 May 2006); doi: 10.1117/12.668888
Show Author Affiliations
Martin Liggins, George Mason Univ. (United States)
K.C. Chang, George Mason Univ. (United States)


Published in SPIE Proceedings Vol. 6235:
Signal Processing, Sensor Fusion, and Target Recognition XV
Ivan Kadar, Editor(s)

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