| 基于雷达散射截面的汽车前方障碍物分类识别 |
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| 引用本文： | 冯冬青,崔盈慧,张西雅.基于雷达散射截面的汽车前方障碍物分类识别[J].郑州大学学报(自然科学版),2011(1):114-117. |
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| 作者姓名： | 冯冬青 崔盈慧 张西雅 |
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| 作者单位： | 郑州大学电气工程学院,河南郑州450001 |
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| 摘 要： | 识别汽车前方障碍物是汽车防撞技术的关键,仅对前方目标做距离或速度的检测会造成对目标的误判,影响报警系统的可靠性.为了识别不同的障碍物,研究了基于雷达散射截面（RCS）的汽车前方障碍物分类识别的方法.通过分析目标本身的物理特性及其RCS序列的统计特性,并对所得RCS序列进行梅林变换,提取有效特征,实现车前障碍物分类识别.将障碍物分为小轿车、大客车和行人3类,仿真验证了这种新方法的可行性.
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| 关 键 词： | 目标雷达散射截面 障碍物分类 电磁仿真 汽车防撞 |
Vehicle Obstacle Classification Recognition Based on RCS |
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| FENG Dong-qing,CUI Ying-hui,ZHANG Xi-ya.Vehicle Obstacle Classification Recognition Based on RCS[J].Journal of Zhengzhou University (Natural Science),2011(1):114-117. |
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| Authors: | FENG Dong-qing CUI Ying-hui ZHANG Xi-ya |
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| Institution: | (School of Electrical Engineering,Zhengzhou University,Zhengzhou 450001,China) |
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| Abstract: | Identifying the obstacles in front of the vehicle was the key of anti-collision technology.Making a distance or speed detection of the target some times caused misjudgment which had a great deal of influence on the reliability of the alarm system.To recognize different targets,the radar cross section（RCS） of target was used.It was possible to classify targets into different types by analyzing the statistical properties of the target RCS values and the Mellin transformation of RCS sequences.The barriers were classified into three types which were cars,buses and pedestrian.The simulation results demonstrated that this technique was feasible. |
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| Keywords: | RCS of target obstacle classification electromagnetic simulation vehicle anti-collision technology |
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