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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Wiley
2019-10-01
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Series: | The Journal of Engineering |
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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. |
first_indexed | 2024-12-16T14:39:21Z |
format | Article |
id | doaj.art-7ece70573a7f4f178ca442e801d5cf1a |
institution | Directory Open Access Journal |
issn | 2051-3305 |
language | English |
last_indexed | 2024-12-16T14:39:21Z |
publishDate | 2019-10-01 |
publisher | Wiley |
record_format | Article |
series | The Journal of Engineering |
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 |