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Proceedings Paper

Multi-vehicle decentralized fusion and tracking
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Paper Abstract

In this paper, we introduce a decentralized fusion and tracking based on a distributed multi-source multitarget filtering and robust communication with the following features: (i) data reduction; (ii) a disruption tolerant dissemination procedure that takes advantage of storage and mobility; and (iii) efficient data set reconciliation algorithms. We developed and implemented complex high-fidelity marine application demonstration of this approach that encompasses all relevant environmental parameters. In the simulated example, multi-source information is fused by exploiting sensors from disparate Unmanned Underwater Vehicles (UUV) and Unmanned Surface Vehicle (USV) multi-sensor platforms. Communications among the platforms are continuously establishing and breaking depending on the time-changing geometry. We compare and evaluate the developed algorithms by assessing their performance against different scenarios.

Paper Details

Date Published: 18 May 2012
PDF: 18 pages
Proc. SPIE 8392, Signal Processing, Sensor Fusion, and Target Recognition XXI, 83920I (18 May 2012); doi: 10.1117/12.919416
Show Author Affiliations
A. El-Fallah, Scientific Systems Co., Inc. (United States)
A. Zatezalo, Scientific Systems Co., Inc. (United States)
R. Mahler, Lockheed Martin Tactical Defense Systems (United States)
R. K. Mehra, Scientific Systems Co., Inc. (United States)


Published in SPIE Proceedings Vol. 8392:
Signal Processing, Sensor Fusion, and Target Recognition XXI
Ivan Kadar, Editor(s)

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