基于动态随机RCS模型的UCAV突防航迹规划
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- 英文论文题名：UCAV Penetration Path Planning Based on Dynamic Stochastic RCS Model
- 论文作者：莫松 ; 郑征 ; 刘杰
- 英文论文作者：Mo Song ; Zheng Zheng ; Jie Liu ; Beijing Aerospace Technology Institute ; School of Automation Science and Electrical Engineering ; Beihang University
- 年：2016
- 作者机构：北京空天技术研究所;北京航空航天大学自动化科学与电气工程学院;
- 论文关键词：无人作战飞机 ; 路径规划 ; 快速扩展随机树 ; 动态雷达散射截面 ; 不确定性 ; 随机模型
- 英文论文关键词：unmanned aerial vehicle(UAV) ; path planning ; rapidly-exploring random tree(RRT) ; dynamic radar cross section(RCS) ; uncertainty ; stochastic model
- 会议召开时间：2016-10-31
- 会议录名称：探索 创新 交流（第7集）——第七届中国航空学会青年科技论坛文集（上册）
- 英文会议录名称：Discovery,Innovation and Communication——Proceedings of 7th CSAA Science and Technology Youth Forum
- 语种：中文
- 分类号：V279;V249
- 学会代码：ZGHU
- 会议名称：探索 创新 交流（第7集）——第七届中国航空学会青年科技论坛
- 会议地点：中国广东中山
- 主办单位：中国航空学会
- 学会名称：中国航空学会
- 页数：6
- 文件大小：1500k
- 原文格式：O
- 会议级别：全国
摘要
突防反隐身雷达网是无人作战飞机(UCAV)完成纵深打击任务的关键环节,而进行有效的突防航迹规划是提高突防成功率的必要手段之一。考虑到雷达网反隐身原理,本文首先根据UCAV实际飞行过程中的动态RCS特性建立了一种动态随机RCS模型。进一步,通过引入快速扩展随机树(RRT)的思想,提出了一种反隐身雷达网威胁条件下的UCAV突防航迹规划方法。通过在典型威胁场景以及复杂场景下得到的突防航迹和统计实验结果表明,该方法能够在高密度的雷达威胁环境中保证UCAV突防低可探测性,而且规划结果具有随机性,能够满足突防线路不可预知性的要求。
When executing the deep precision strike mission,the UCAV would be under the threat from the anti-stealth radar net.So the key process of this kind of mission is the penetration of the radar net and an appropriate flight route can essentially improve the success rate of penetration.According to the mechanism of the anti-stealth radar net,firstly,a dynamic stochastic RCS model was established to accurately depict the variation and uncertainty of the RCS in flight;secondly,a penetration path planning method was designed inspired from the idea of the RRT algorithm.Then the simulation experiments ware conducted in the elementary threat unit and the complex scenario.The results indicate that the new method could guarantee the safety of the UCAV when penetrating through a high density radar threat environments and the penetration route generated is random and irregular,which is difficult to be predicted.
When executing the deep precision strike mission,the UCAV would be under the threat from the anti-stealth radar net.So the key process of this kind of mission is the penetration of the radar net and an appropriate flight route can essentially improve the success rate of penetration.According to the mechanism of the anti-stealth radar net,firstly,a dynamic stochastic RCS model was established to accurately depict the variation and uncertainty of the RCS in flight;secondly,a penetration path planning method was designed inspired from the idea of the RRT algorithm.Then the simulation experiments ware conducted in the elementary threat unit and the complex scenario.The results indicate that the new method could guarantee the safety of the UCAV when penetrating through a high density radar threat environments and the penetration route generated is random and irregular,which is difficult to be predicted.
引文
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[12]Steven M L.Randomized Kinodynamic planning[J].The International Journal of Robotics Research,2001,20(5):378-400.
[13]王雪松,肖顺平,冯德军,等,现代雷达电子战系统建模与仿真[M].北京:电子工业出版社,2010:32-37.
[14]张考,马东立,等.军用飞行器生存力与隐身设计[M].北京:国防工业出版社,2002:180-199.
[15]赵瑞学,钱林方,陈龙淼,等.基于双侧截尾正态分布的机构可靠度研究[J].计算机仿真,2011,28(2):248-251.
[16]刘伟,郑征,蔡开元,等.快速平滑收敛策略下基于QS-RRT的UAV运动规划[J].中国科学,2012,42(11):1403-1422.
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[18]Frederick H Z III.UCAV Path Planning in the Presence of Radar-Guided Surface-to-Air Missile Threats[D].Michigan,USA:The University of Michigan,2005.
[2]陈永光,李修和,沈阳,等.组网雷达作战能力分析与评估[M].北京:科学出版社,2006:75-100.
[3]John J III.Search for a Stealthy Flight Path through a Hostile Radar Defense Network[D].California,USA:Naval postgraduate school,1995.
[4]Tamer I,Mehmet K M.Richard M M.A Framework for Lowobservable Trajectory Generation in Presence of Multiple radars[J].Journal of Guidance,Control,and Dynamics,2008,31(6):1740-1749.
[5]李莹,黄沛霖,武哲.飞行器突防仿真的特征信号新建模方法[J].北京航空航天大学学报,2009,35(1):40-43.
[6]Pierrw T K.Semyon M M,Frederick H Z III.Optimal Path Planning for Unmanned Combat Aerial Vehicles to Defeat Radar tracking[J].Journal of Guidance,Control,and Dynamics,29(2):279-288.
[7]丁晓东,刘毅,李为民.基于动态RCS的无人机航迹实时规划方法研究[J].系统工程与电子技术,2008,30(5):868-871.
[8]陈中起,于雷,周中良,等.基于隐身的三维航迹规划研究[J]。飞行力学,2012,30(2):155-159.
[9]晏青,熊峻江,游思明.基于动态RCS的无人机航迹实时规划[J].北京航空航天大学学报,201I,37(9):1115-1121.
[10]Mo S,Huang J,Li Y.A New Penetration Route Planning Method Based on the Dynamic Aircraft RCS model[C]//Sensor Signal Processing for Defence(SSPD 2011),London,UK,2011:1-5.
[11]苏东林,曾国奇,刘焱,等.复杂雷达动目标建模及动态RCS分析[J].北京航空航天大学学报,2006,32(12):1413-1417.
[12]Steven M L.Randomized Kinodynamic planning[J].The International Journal of Robotics Research,2001,20(5):378-400.
[13]王雪松,肖顺平,冯德军,等,现代雷达电子战系统建模与仿真[M].北京:电子工业出版社,2010:32-37.
[14]张考,马东立,等.军用飞行器生存力与隐身设计[M].北京:国防工业出版社,2002:180-199.
[15]赵瑞学,钱林方,陈龙淼,等.基于双侧截尾正态分布的机构可靠度研究[J].计算机仿真,2011,28(2):248-251.
[16]刘伟,郑征,蔡开元,等.快速平滑收敛策略下基于QS-RRT的UAV运动规划[J].中国科学,2012,42(11):1403-1422.
[17]田阔,符小卫,高晓光,等.威胁联网下无人机路径在线规划[J].西北工业大学学报,2011,29(3):367-373.
[18]Frederick H Z III.UCAV Path Planning in the Presence of Radar-Guided Surface-to-Air Missile Threats[D].Michigan,USA:The University of Michigan,2005.