主/被动传感器辐射控制的调度方法

doi:10.19665/j.issn1001-2400.2019.06.010

Abstract

Abstract:

In order to reduce the radiation risk of the sensor system during target tracking, the scheduling problem of active/passive sensors is studied. By establishing a sensor scheduling model based on the Partially Observable Markov Decision Process, the prediction formulas for target tracking accuracy and system radiation cost are given, the target function is established to meet the tracking accuracy constraint and the system radiation cost is minimized. An improved distributed auction algorithm is designed to solve the problem. Simulation experiments show that the method proposed in this paper can reduce the system radiation risk without sacrificing the tracking accuracy by reasonably scheduling the active/passive sensors on each platform.

Key words: sensor scheduling, target tracking, partially observable Markov decision process, radiation cost, auction algorithm

CLC Number:

TP212

ZHANG Yunpu,SHAN Ganlin,DUAN Xiusheng,WANG Meng. Scheduling of active/passive sensors for radiation control[J].Journal of Xidian University, 2019, 46(6): 67-74.

Figures/Tables 5

References 17

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平台	平台位置/km	主动传感器参数	被动传感器参数/rad
1	(0,0,0)	δ_r=150 m, δ_θ=δ_φ=0.010 rad	δ_θ=δ_φ=0.005
2	(2,4,0)	δ_r=150 m, δ_θ= δ_φ=0.005 rad	δ_θ=δ_φ=0.005
3	(10,2,0)	δ_r=120 m, δ_θ= δ_φ=0.005 rad	δ_θ=δ_φ=0.005
4	(4,-5,0)	δ_r=100 m, δ_θ= δ_φ=0.002 rad	δ_θ=δ_φ=0.005

算法	单次运行时间/ms	不满足阈值的时刻数	跟踪性能比	辐射代价	辐射性能比
文中算法	86	3.7	1.28	31.8	1.26
穷举法	400	2.9	1.00	25.3	1.00
贪婪搜索	60	27.8	9.59	51.1	2.02
拍卖算法	221	12.4	4.28	40.3	1.59
多agent协商算法	98	5.5	1.90	36.5	1.44
改进蜂群算法	151	4.3	1.48	32.7	1.29

Scheduling of active/passive sensors for radiation control

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