| 基于HLA的弹载SAR快速数字仿真与评估系统 |
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| 引用本文： | 陈阳春,孙清洋,舒汀,唐斌,郁文贤.基于HLA的弹载SAR快速数字仿真与评估系统[J].现代雷达,2016(7):1-6. |
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| 作者姓名： | 陈阳春 孙清洋 舒汀 唐斌 郁文贤 |
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| 作者单位： | 上海交通大学 上海市智能探测与识别重点实验室;上海交通大学 上海市智能探测与识别重点实验室;上海交通大学 上海市智能探测与识别重点实验室;上海交通大学 上海市智能探测与识别重点实验室;上海交通大学 上海市智能探测与识别重点实验室 |
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| 摘 要： | 为克服通常情况下在单台计算机上分时、分步完成整个弹载合成孔径雷达（SAR）系统仿真的耗时与繁琐，文中基于高级体系结构（HLA）的独有架构，采用图形处理器（GPU）作为处理器，搭建了包括主控、航迹与姿态、目标与场景建模、回波、干扰、SAR成像处理、仿真评估多个联邦成员在内的弹载SAR快速数字仿真与评估系统。对系统性能进行多组数据实测仿真与评估分析，相对传统方法将性能提升数个量级，验证了该系统的正确性与高效性。
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| 关 键 词： | 合成孔径雷达 数字仿真 高级体系结构 联邦 运行支撑环境 图形处理器 |
Fast Digital Simulation and Evaluation System Based on HLA for Misslie-borne SAR |
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| CHEN Yangchun,SUN Qingyang,SHU Ting,TANG Bin and YU Wenxian.Fast Digital Simulation and Evaluation System Based on HLA for Misslie-borne SAR[J].Modern Radar,2016(7):1-6. |
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| Authors: | CHEN Yangchun SUN Qingyang SHU Ting TANG Bin and YU Wenxian |
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| Affiliation: | Shanghai Key Laboratory of Intelligent Sensing and Recognition, Shanghai Jiaotong University;Shanghai Key Laboratory of Intelligent Sensing and Recognition, Shanghai Jiaotong University;Shanghai Key Laboratory of Intelligent Sensing and Recognition, Shanghai Jiaotong University;Shanghai Key Laboratory of Intelligent Sensing and Recognition, Shanghai Jiaotong University;Shanghai Key Laboratory of Intelligent Sensing and Recognition, Shanghai Jiaotong University |
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| Abstract: | In order to overcome the time-consuming and cumbersome shortcomings of missile-borne SAR system simulation, based on the unique feature of HLA and using GPU as processor, this paper sets up a fast digital simulation and evaluation system for missile-borne SAR. The system includes federate members as main control, trajectory, target and scene, echo, jamming, imaging, and simulation evaluation. In addition, multiple sets test and verification results are figured out in order to ensure the correctness and effectiveness of the system, consequently the performance has been improved to several orders of magnitude compared to traditional method. |
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| Keywords: | SAR digital simulation HLA federation RTI GPU |
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