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基于價(jià)值優(yōu)化的相控陣?yán)走_(dá)任務(wù)調(diào)度算法

楊善超,  田康生,  劉仁爭(zhēng),  鄭玉軍

楊善超, 田康生, 劉仁爭(zhēng), 鄭玉軍. 基于價(jià)值優(yōu)化的相控陣?yán)走_(dá)任務(wù)調(diào)度算法[J]. 電子與信息學(xué)報(bào), 2020, 42(2): 465-471. doi: 10.11999/JEIT190147
引用本文: 楊善超, 田康生, 劉仁爭(zhēng), 鄭玉軍. 基于價(jià)值優(yōu)化的相控陣?yán)走_(dá)任務(wù)調(diào)度算法[J]. 電子與信息學(xué)報(bào), 2020, 42(2): 465-471. doi: 10.11999/JEIT190147
Shanchao YANG, Kangsheng TIAN, Renzheng LIU, Yujun ZHENG. Scheduling Algorithm Based on Value Optimization for Phased Array Radar[J]. Journal of Electronics & Information Technology, 2020, 42(2): 465-471. doi: 10.11999/JEIT190147
Citation: Shanchao YANG, Kangsheng TIAN, Renzheng LIU, Yujun ZHENG. Scheduling Algorithm Based on Value Optimization for Phased Array Radar[J]. Journal of Electronics & Information Technology, 2020, 42(2): 465-471. doi: 10.11999/JEIT190147

基于價(jià)值優(yōu)化的相控陣?yán)走_(dá)任務(wù)調(diào)度算法

doi: 10.11999/JEIT190147
  • 1.

    空軍預(yù)警學(xué)院預(yù)警情報(bào)系 武漢 430019

  • 2.

    中國(guó)人民解放軍94710部隊(duì) 無(wú)錫 214000

基金項(xiàng)目: 國(guó)家863計(jì)劃(2015AA7056045)，國(guó)家自然科學(xué)基金(61601510)
詳細(xì)信息
    作者簡(jiǎn)介:

    楊善超：男，1992年生，博士生，研究方向?yàn)橄嗫仃嚴(yán)走_(dá)資源管理、預(yù)警情報(bào)組網(wǎng)

    田康生：男，1963年生，教授，博士生導(dǎo)師，研究方向?yàn)橄嗫仃嚴(yán)走_(dá)資源管理、預(yù)警情報(bào)組網(wǎng)

    劉仁爭(zhēng)：男，1980年生，博士生，研究方向?yàn)轭A(yù)警情報(bào)組網(wǎng)

    鄭玉軍：男，1988年生，博士，研究方向?yàn)轭A(yù)警情報(bào)組網(wǎng)

    通訊作者:

    楊善超　y_qinglinshuo@163.com

  • 中圖分類號(hào): TN958.92

Scheduling Algorithm Based on Value Optimization for Phased Array Radar

  • 1.

    The Early Warning Intelligence Department, Air Force Early Warning Academy, Wuhan 430019, China

  • 2.

    The Unit 94710 of The Chinese People’s Liberation Army, Wuxi 214000, China

Funds: The National 863 Program of China (2015AA7056045), The National Natural Science Foundation of China (61601510)
  • 摘要:

    針對(duì)相控陣?yán)走_(dá)時(shí)間資源分配問(wèn)題，該文提出一種基于價(jià)值優(yōu)化的任務(wù)調(diào)度算法。首先建立任務(wù)調(diào)度屬性參數(shù)，對(duì)跟蹤任務(wù)隊(duì)列進(jìn)行可行性分析和篩選操作，確定跟蹤任務(wù)調(diào)度屬性。其次，根據(jù)任務(wù)最大價(jià)值及其變化斜率，建立關(guān)于實(shí)際執(zhí)行時(shí)刻的動(dòng)態(tài)任務(wù)價(jià)值函數(shù)，并基于此構(gòu)建任務(wù)調(diào)度的價(jià)值優(yōu)化模型，對(duì)跟蹤任務(wù)執(zhí)行時(shí)刻進(jìn)行分配，以更好滿足及時(shí)性原則。最后，利用執(zhí)行跟蹤任務(wù)間的空閑時(shí)間片對(duì)搜索任務(wù)進(jìn)行調(diào)度。仿真結(jié)果表明，該文算法有效減小了時(shí)間偏移量，提升了實(shí)現(xiàn)價(jià)值率。

    Abstract:

    A task scheduling algorithm based on value optimization is proposed for phased array radar. Firstly, the schedulability of tracking tasks is obtained through feasibility analysis and selecting operation on the task queue, using the proposed schedulability parameters. Then, a dynamic task value function about the actual execution time is established according to the peak value and value changing slope of tasks. A value optimization model for tracking task scheduling is constructed based on the task value function. Timeliness can be better achieved while adopting this model to assign execution time for tasks. Finally, searching tasks are scheduled using the idle time intervals between tracking tasks which are going to be executed. Simulation results show that proposed algorithm reduces the average time shift ratio, and improves the value achieving ratio compared with the traditional scheduling algorithms.

    • HTML全文

  • 圖  1  任務(wù)調(diào)度模型總體結(jié)構(gòu)

    圖  2  跟蹤任務(wù)調(diào)度流程

    圖  3  搜索任務(wù)調(diào)度框架

    圖  4  調(diào)度成功率對(duì)比

    圖  5  時(shí)間偏移率對(duì)比

    圖  6  實(shí)現(xiàn)價(jià)值率對(duì)比

    圖  7  不同任務(wù)實(shí)現(xiàn)價(jià)值率對(duì)比

    表  1  跟蹤任務(wù)參數(shù)設(shè)置

    跟蹤任務(wù)類別$P$${V^*}$$\delta $=$\theta $時(shí)間窗(ms)$\Delta t$(ms)$ti$
    高價(jià)值4100035302300 ms
    中價(jià)值360010502600 ms
    低價(jià)值220036021 s
    下載: 導(dǎo)出CSV
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出版歷程
  • 收稿日期:  2019-03-13
  • 修回日期:  2019-05-24
  • 網(wǎng)絡(luò)出版日期:  2019-08-15
  • 刊出日期:  2020-02-19

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