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Proceedings Paper

Decentralized closed-loop collaborative surveillance and tracking performance sensitivity to communications connectivity
Author(s): Jonathan T. DeSena; Sean R. Martin; Jesse C. Clarke; Daniel A. Dutrow; Brian C. Kohan; Andrew J. Newman
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Paper Abstract

As the number and diversity of sensing assets available for intelligence, surveillance and reconnaissance (ISR) operations continues to expand, the limited ability of human operators to effectively manage, control and exploit the ISR ensemble is exceeded, leading to reduced operational effectiveness. Our approach is to apply the principles of feedback control to ISR operations, “closing the loop” from the sensor collections through automated processing to ISR asset control. Previous work by the authors demonstrated closed-loop control, involving both platform routing and sensor pointing, of a multi-sensor, multi-platform ISR ensemble tasked with providing situational awareness and performing search, track and classification of multiple targets. The multi-asset control used a joint optimization of routes and schedules in a centralized architecture, requiring a fully-connected communications network. This paper presents an extension of the previous work to a decentralized architecture that relaxes the communications requirements. The decentralized approach achieves a solution equivalent to the centralized system when the network allows full communications and gracefully degrades ISR performance as communications links degrade. The decentralized closedloop ISR system has been exercised via a simulation test bed against a scenario in the Afghanistan theater under a variety of network conditions, from full to poor connectivity. Simulation experiment results are presented.

Paper Details

Date Published: 23 May 2013
PDF: 13 pages
Proc. SPIE 8745, Signal Processing, Sensor Fusion, and Target Recognition XXII, 874507 (23 May 2013); doi: 10.1117/12.2015402
Show Author Affiliations
Jonathan T. DeSena, The Johns Hopkins Univ. Applied Physics Lab. (United States)
Sean R. Martin, The Johns Hopkins Univ. Applied Physics Lab. (United States)
Jesse C. Clarke, The Johns Hopkins Univ. Applied Physics Lab. (United States)
Daniel A. Dutrow, The Johns Hopkins Univ. Applied Physics Lab. (United States)
Brian C. Kohan, The Johns Hopkins Univ. Applied Physics Lab. (United States)
Andrew J. Newman, The Johns Hopkins Univ. Applied Physics Lab. (United States)


Published in SPIE Proceedings Vol. 8745:
Signal Processing, Sensor Fusion, and Target Recognition XXII
Ivan Kadar, Editor(s)

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