Index for task scheduling in phased array radar

In the task scheduling problem of phased array radar, the objective function is usually based on the time shifting rate (TSR). However, the TSR cannot achieve expected scheduling performance in non-linear filtering systems. To further improve the scheduling performance, a novel index named shifting...

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Main Authors: Yi Duan, Xian-Si Tan, Zhi-Guo Qu, Hong Wang
Format: Article
Language:English
Published: Wiley 2019-10-01
Series:The Journal of Engineering
Subjects:
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0630
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author Yi Duan
Xian-Si Tan
Zhi-Guo Qu
Hong Wang
author_facet Yi Duan
Xian-Si Tan
Zhi-Guo Qu
Hong Wang
author_sort Yi Duan
collection DOAJ
description In the task scheduling problem of phased array radar, the objective function is usually based on the time shifting rate (TSR). However, the TSR cannot achieve expected scheduling performance in non-linear filtering systems. To further improve the scheduling performance, a novel index named shifting improve rate (SIR) is proposed by analysing the influence of time shifting and its formula in Kalman filtering and expand Kalman filtering is derived. Based on SIR, a new objective function for scheduling of phased array radar tasks was designed and used the genetic algorithm to solve it. Simulated experiments are done to validate the proposed index and the new objective function. The results demonstrate that the SIR achieves better scheduling performance and tracking accuracy than TSR in non-linear filtering systems while keeping similar performance in linear filtering systems.
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spelling doaj.art-7ece70573a7f4f178ca442e801d5cf1a2022-12-21T22:28:00ZengWileyThe Journal of Engineering2051-33052019-10-0110.1049/joe.2019.0630JOE.2019.0630Index for task scheduling in phased array radarYi Duan0Xian-Si Tan1Zhi-Guo Qu2Hong Wang3Air Force Early Warning AcademyAir Force Early Warning AcademyAir Force Early Warning AcademyAir Force Early Warning AcademyIn the task scheduling problem of phased array radar, the objective function is usually based on the time shifting rate (TSR). However, the TSR cannot achieve expected scheduling performance in non-linear filtering systems. To further improve the scheduling performance, a novel index named shifting improve rate (SIR) is proposed by analysing the influence of time shifting and its formula in Kalman filtering and expand Kalman filtering is derived. Based on SIR, a new objective function for scheduling of phased array radar tasks was designed and used the genetic algorithm to solve it. Simulated experiments are done to validate the proposed index and the new objective function. The results demonstrate that the SIR achieves better scheduling performance and tracking accuracy than TSR in non-linear filtering systems while keeping similar performance in linear filtering systems.https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0630schedulinggenetic algorithmskalman filtersfiltering theoryphased array radarscheduling performancetsrnonlinear filtering systemslinear filtering systemstask scheduling problemobjective functionimprove ratesirkalman filteringphased array radar tasks
spellingShingle Yi Duan
Xian-Si Tan
Zhi-Guo Qu
Hong Wang
Index for task scheduling in phased array radar
The Journal of Engineering
scheduling
genetic algorithms
kalman filters
filtering theory
phased array radar
scheduling performance
tsr
nonlinear filtering systems
linear filtering systems
task scheduling problem
objective function
improve rate
sir
kalman filtering
phased array radar tasks
title Index for task scheduling in phased array radar
title_full Index for task scheduling in phased array radar
title_fullStr Index for task scheduling in phased array radar
title_full_unstemmed Index for task scheduling in phased array radar
title_short Index for task scheduling in phased array radar
title_sort index for task scheduling in phased array radar
topic scheduling
genetic algorithms
kalman filters
filtering theory
phased array radar
scheduling performance
tsr
nonlinear filtering systems
linear filtering systems
task scheduling problem
objective function
improve rate
sir
kalman filtering
phased array radar tasks
url https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0630
work_keys_str_mv AT yiduan indexfortaskschedulinginphasedarrayradar
AT xiansitan indexfortaskschedulinginphasedarrayradar
AT zhiguoqu indexfortaskschedulinginphasedarrayradar
AT hongwang indexfortaskschedulinginphasedarrayradar