主/被动传感器辐射控制的调度方法

doi:10.19665/j.issn1001-2400.2019.06.010

摘要/Abstract

摘要：

为了降低目标跟踪时传感器系统的辐射风险,研究了主/被动传感器的调度问题。通过建立基于部分可观马尔可夫决策过程的传感器调度模型,给出了目标跟踪精度和系统辐射代价的预测公式,并以满足跟踪精度约束的同时系统辐射代价达到最小为优化目标建立了目标函数,设计了一种改进分布式拍卖算法以求解该问题。仿真实验表明,该方法能够通过合理切换各平台上的主/被动传感器,使系统在不牺牲跟踪精度的同时,降低辐射代价。

关键词: 传感器调度, 目标跟踪, 部分可观马尔可夫决策过程, 辐射代价, 拍卖算法

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

中图分类号:

TP212

张昀普,单甘霖,段修生,王猛. 主/被动传感器辐射控制的调度方法[J]. 西安电子科技大学学报, 2019, 46(6): 67-74.

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.

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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