DocumentCode :
263268
Title :
Sensor management for multistatics
Author :
Krout, D.W. ; Powers, Thomas
Author_Institution :
Appl. Phys. Lab., Univ. of Washington, Seattle, WA, USA
fYear :
2014
fDate :
7-10 July 2014
Firstpage :
1
Lastpage :
6
Abstract :
This paper focuses on sensor management for distributed sensor fields in deep water. This paper will investigate the sensor placement problem for the barrier scenario. Field performance is often based solely on sensor coverage or probability of detection evaluations, which provide only a fleeting snapshot of how the field is performing at a particular time. This paper utilizes an efficient time dependent approach to evaluating the performance of distributed sensor fields. Given a priori target probability distributions and sensor measurements distributed in time and space, the approach directly scores entire sensor fields based on their ability to detect threats over time. This formulation is used as an optimization metric for sensor management.
Keywords :
distributed sensors; optimisation; sensor placement; statistical distributions; a priori target probability distributions; detection evaluation probability; distributed sensor fields; field performance; optimization metric; performance evaluation; sensor coverage; sensor management; sensor measurements; sensor placement problem; time dependent approach; Computational modeling; Interference; Monte Carlo methods; Oceans; Optimization; Sonar; Target tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Fusion (FUSION), 2014 17th International Conference on
Conference_Location :
Salamanca
Type :
conf
Filename :
6916250
Link To Document :
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