Stochastic dynamic programming based approaches to sensor resource management

被引：0
|
作者：
Washburn, RB [1 ]
Schneider, MK [1 ]
Fox, JJ [1 ]
机构：
[1] Alphatech Inc, Fus Technol & Syst Div, Burlington, MA USA
来源：
PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON INFORMATION FUSION, VOL I | 2002年
关键词：
sensor resource management; dynamic programming; Gittins index; multi-armed bandit;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper describes a stochastic dynamic programming based approach to solve Sensor Resource Management (SRM) problems such as occur in tracking multiple targets with electronically scanned, multi-mode radar Specifically, it formulates the SRM problem as a stochastic scheduling problem and develops approximate solutions based on the Gittins index rule. Novel results include a hybrid state stochastic model for the information dynamics of tracked targets, an exact index rule solution of the SRM problem for a simplified tracking model, and use of approximate dynamic programming to extend the index rule solution to more realistic models.
引用
收藏
页码：608 / 615
页数：4
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