期刊文献+

汽车防刮蹭雷达中的MIMO反射波到达角估计方法 被引量:3

Direction of arrival estimation method based on MIMO in automobile anti-scratch radar
下载PDF
导出
摘要 汽车防刮蹭雷达旨在避免与前方车辆发生刮蹭事故。系统通过估计前车反射波到达角来估算两车间横向距离。主要讨论MIMO反射波到达角估计方法,已有的算法大多以点目标为前提。汽车防刮蹭雷达中,目标的空间特性不能忽略,此时基于点目标假设的估计算法性能会严重恶化,故需要用分布式目标模型对前方车辆进行完整的描述。现有的分布式目标角度参数估计方法复杂度高,针对该问题,提出基于分布式目标模型的Capon波束形成估计算法。算法对反射波的中心角度以及角度扩展进行估计,并且假设前方车辆尾部宽度已知,估算出两车间横向距离。理论分析和仿真分析表明,算法有效地降低了复杂度,并具有良好的估计性能。 Automobile anti-scratch radar is designed to avoid scratches with the tront car. I ne rauar by^ten~ c~ the cross range between two cars by estimating DOA of the wave reflected by front car. In our radar system, the front car is described by a distributed source model as algorithms based on the assumption of the point source model will seriously deteriorate. We propose an algorithm that estimates the central angle and angular extension of distributed sources in MIMO system unlike most existing algorithms which are on the assumption of point source model. Assuming that the car width is known, we are able to estimate the cross range between two cars. Theoretical analysis and computer simulation show that this method is not only effective but also has good estimation accuracy.
作者 彭章友 朱晶华 马骁颖 张钟浩 Peng Zhangyou Zhu Jinghua Ma Xiaoying Zhang Zhonghao(Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai 200072, Chin)
出处 《电子测量技术》 2017年第9期99-103,共5页 Electronic Measurement Technology
关键词 汽车防刮蹭雷达 MIMO 分布式目标 角度参数估计 automobile anti-scratch radar MIMO distributed source model DOA
  • 相关文献

参考文献9

二级参考文献117

  • 1陈同林,樊海博.雷达技术在现代公路交通中的应用[J].西安邮电学院学报,2004,9(3):34-37. 被引量:6
  • 2何子述,韩春林,刘波.MIMO雷达概念及其技术特点分析[J].电子学报,2005,33(B12):2441-2445. 被引量:97
  • 3吴传宇.汽车防碰撞技术简述[J].福建农机,2006(3):55-56. 被引量:3
  • 4任亚欣.汽车防撞雷达概述[J].科技情报开发与经济,2007,17(17):153-155. 被引量:11
  • 5A Luce,et al. Experimental results on SIAR digital beamforming radar[A ]. 1992 IEEE, International Radar Conference[C]. London, 1992.505 - 510.
  • 6Forsythe K W, Bliss D W. Waveforrn correlation and optimization issues for MIMO radar[ A ]. In: Conference Record of the 39th Asilomar Conference on Signals, Systems and Computers [C]. Pacific Grove, CA, United States, 2005. 1306 - 1310.
  • 7Xu L Z, Li J, Stoica P. Adaptive techniques for MIMO radar [A].In:the 4th IEEE Workshop on Sensor Array and Multichannel Processing[C]. Waltham, MA, United States, 2006. 258 - 262.
  • 8Bekkerman I, Tabrikian J. Target detection and localization using MIMO radars and sonars[J] .IEEE Trans. on SP. ,2006,54 (10) :3873 - 3883.
  • 9Fishier E, Haimovich A, Blum R S, et al. Spatial diversity in radars - models and detection performance[ J ]. IEEE, Trans. on SP., 2006,54(3) : 823 - 838.
  • 10Valaee S, Champagne B, Kabal P. Parametric localization of distributed sources [J ].IEEE. Trans. on SP., 1995,43 ( 9 ) : 2144 - 2153.

共引文献185

同被引文献13

引证文献3

二级引证文献5

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部