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Proceedings Paper

Efficient multiple emitter localization for fully decentralized large-scale/low-cost multimodal sensor networks
Author(s): Philip J. Haney; Paul D. Fiore
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Paper Abstract

This paper presents a robust approach to the problem of localizing multiple emitters in cluttered environments using a network of low-cost sensors. A pseudo maximum likelihood (PML) function, whose peaks strongly indicate the number and locations of the true emitters, is generated from available sensor measurements. Localization is performed by first iteratively associating the individual sensor measurements to the PML peaks and then generating true maximum likelihood (ML) estimates of the emitter locations based on the associated measurements. These emitter location estimates are fed to an EKF-based, decentralized architecture for initiating, sustaining and sharing local track activity throughout the sensor network. The iterative PML approach is shown to be efficient with computational complexity that is linear in the number of measurements. Additionally, simulation results illustrate the ability of the proposed approach to generate accurate emitter location estimates in cluttered environments for generating and sustaining all track activity in a fully decentralized sensor network.

Paper Details

Date Published: 30 September 2013
PDF: 14 pages
Proc. SPIE 8857, Signal and Data Processing of Small Targets 2013, 88570K (30 September 2013); doi: 10.1117/12.2023392
Show Author Affiliations
Philip J. Haney, BAE Systems (United States)
Paul D. Fiore, MIT Lincoln Lab. (United States)


Published in SPIE Proceedings Vol. 8857:
Signal and Data Processing of Small Targets 2013
Oliver E. Drummond; Richard D. Teichgraeber, Editor(s)

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