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Proceedings Paper

Information-based awareness model and active sensing in sensor resource management
Author(s): Dan Shen; Zhi Tian; Genshe Chen; Khanh Pham; Erik Blasch
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Paper Abstract

In this paper, we studied the performance metrics for evaluating Network-Centric Warfare (NCW) battlefield awareness. We developed a set of novel information awareness metrics to enable responsive situation assessment under mission-critical conditions. The awareness metrics model (AMM) reflects the global information values of event locations such as position, terrain information, dangerousness, survivability, cell difficulty, and mission importance. Based on the enhanced awareness model, we developed an in-network cooperative multi-sensor search and track (ICMS) algorithm by solving a unified optimization problem in which each cell is searched and all detected objects are tracked for at least a desired track-lifetime period. We utilize a track-lifetime surface metric to represent the spatial and temporal aspects of object movements over a region of interest that requires frequent sampling of the known and estimated object positions (track maintenance) as well as possible object arrivals (track initiation). To demonstrate the effectiveness of our approach, we implemented our ICMS algorithm in a numerical example and found that it is effective in the sense that most cells with high activity are well-searched.

Paper Details

Date Published: 15 April 2010
PDF: 9 pages
Proc. SPIE 7698, Signal and Data Processing of Small Targets 2010, 76980V (15 April 2010); doi: 10.1117/12.849788
Show Author Affiliations
Dan Shen, DCM Research Resources LLC (United States)
Zhi Tian, Michigan Technological Univ. (United States)
Genshe Chen, DCM Research Resources LLC (United States)
Khanh Pham, Air Force Research Lab. (United States)
Erik Blasch, Air Force Research Lab. (United States)

Published in SPIE Proceedings Vol. 7698:
Signal and Data Processing of Small Targets 2010
Oliver E. Drummond, Editor(s)

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