期刊文献+

多通道雷达天线阵列的设计理论与算法 被引量:10

原文传递
导出
摘要 多通道雷达天线阵列的设计,尤其是MIMO雷达阵列的设计是一个全新的研究内容,涉及MIMO雷达的目标回波空间分集实现、空间采样能力,由此影响目标参数估计、DOA和雷达成像性能.论文从目标散射模型、收发信号模型出发,提出了基于空间卷积理论的MIMO雷达天线阵设计方法与算法,着重分析和介绍了收发复用线性阵情况下的MIMO雷达阵列设计算法,给出了并证明了其等效接收阵列存在的充要条件,在此基础上,论文以目标成像的空间采样和DOA估计性能为例,给出了典型的空间采样模型,对于空间卷积不存在解析解的空间采样模型,也给出了逼近算法.
出处 《中国科学:信息科学》 CSCD 2010年第10期1372-1383,共12页 Scientia Sinica(Informationis)
基金 国家自然科学基金(批准号:60972120)资助项目
  • 相关文献

参考文献9

  • 1雷文太,粟毅,黄春琳.表层穿透雷达递归反向投影成像算法[J].电子学报,2005,33(12):2115-2119. 被引量:10
  • 2Lehmann N H,Fishler E.Evaluation of transmit diversity in MIMO-radar direction finding. IEEE Transactions on Signal Processing . 2007
  • 3Hai D.Polyphase code design for orthogonal netted ra-dar systems. IEEE Signal Processing Letters . 2004
  • 4Skolnik M.Introduction to Radar Systems. . 2002
  • 5Ilya Beckerman,Joseph Tabrikian.Target Detection and Localization Using MIMO Radars and Sonars. IEEE Transactions on Signal Processing . 2006
  • 6Fishler E,Haimovich A,Blum R,et al.MIMO radar: An idea whose time has come. Proceedings of IEEE National Radar Conference . 2004
  • 7Fishler E,Haimovich A,Blum R,et al.Performance of MIMO radar systems: Advantages of angular diversity. Conference Record of the Thirty-Eighth Asilomar Conference on Signals,Systems and Computers . 2004
  • 8Fishler E,Haimovich A,Blum R,et al.Performance of MIMO radar systems: Advantages of angular diversity. Conference Record of the Thirty-Eighth Asilomar Conference on Signals,Systems and Computers . 2004
  • 9Fishler E,Haimovich A,Blum R,et al.Performance of MIMO radar systems: Advantages of angular diversity. Conference Record of the Thirty-Eighth Asilomar Conference on Signals,Systems and Computers . 2004

二级参考文献11

  • 1刘立业,粟毅,刘克成,毛钧杰.FDTD分析探地雷达天线的辐射特性[J].微波学报,2005,21(B04):91-95. 被引量:5
  • 2D J Daniels. Surface Penetrating Radar[ M]. London, United Kingdom: The Institution of Electrical Engineers, 1996.1 - 7.
  • 3ASYM Standard D 6432-99, Standard guide for using the surface ground penetrating radar method for subsurface investiga-tion[ S].
  • 4Y Wang, I D Longstaff, C J Leat. SAR imaging of buried objects from MoM modelled scattered field[J]. IEE Proc-Radar,Sonar Navig,2001,148(3) : 167 - 172.
  • 5Wentai I_ei,Yi Su,Chunlin Huang. A TAM-BP imaging algorithm in GPR application[ A] .Zhenghe Feng. 2004 4th International Conference on Microwave and Millimeter Wave Technology Proceedings[ C]. Beijing: IEEE Press, 2004. 619 -621.
  • 6Daisuke Takahashi. An extended split-radix FFT algorithm[J]. IEEE Signal Processing Letters,2001,8(5) :145- 147.
  • 7《数学手册》编写组.数学手册[M].北京:高等教育出版社,1998.88-90.
  • 8Wentai Lei, Yi Su, Chunlin Huang, Liye Liu. A UWB impluse surface penetrating radar system for pavement evaluation[A].2004 Second International Workshop on Ultra Wideband and Ultra Short Impulse Signals Proceedings [ C ]. Sevastopol,Ukraine: IEEE Press,2004. 195 - 197.
  • 9Gary D Sower, Roger Kilgore, Jaime R Roman. GSTAMIDS ground-penetrating radar: data processing algorithms [ A ].Abinash C Dubey. Detection and Remediation Technologies for Mines and Minelike Targets Ⅵ[C] .Texas, United States:Proceedings of SPIE,2001.786 - 796.
  • 10Pei-ju Chiang, Stacy L Tantum, Leslie M Collins. Signal processing of ground penetrating radar data for subsurface object detection[A]. Abinash C Dubey. Detection and Remediation Technologies for Mines and Minelike Targets Ⅵ[C]. Texas,United States: Proceedings of SPIE,2001.470- 475.

共引文献9

同被引文献84

  • 1Dehmollaian M and Sarabandi K. Through-the-wall imaging using differential SAR[J]. IEEE Transactions on Geoseience and Remote Sensing, 2009, 47(5): 1289-1296.
  • 2Paul C C, Burkholder R J, and Volakis J L. Adaptive CLEAN with target refocusing for thorugh-wall image improvement[J]. IEEE Transactions on Antennas and Propagation, 2010, 58(1): 155-162.
  • 3Huang D M and Zhaag Q Y. Impulse radio ultra-wide-band through wall imaging radar based on multiple-input multiple-output antenna arrays[J]. Information Technology Journal, 2010, 9(4): 782-789.
  • 4Wang D W, Ma X Y, Chen A L, et al.. High-resolution imaging using a wideband MIMO radar system with two distributed arrays[J]. IEEE Transactions on Image Processing, 2010, 19(5): 1280-1289.
  • 5Le C, Dogaru T, Nguyen, et al.. Ultrawideband(UWB) radar imaging of building interior: measurement and predictions[J]. IEEE Transactions on Geoseience and Remote Sensing, 2009, 47(5): 1409-1420.
  • 6Zhuge Xiao-dong, Yarovoy A G, Savelyev T, et al.. Modified Kirchhoff migration for UWB MIMO array-based radarimaging[J]. IEEE Transactions on Geoscienee and Remote Sesing,2010, 48(6): 2692-2703.
  • 7Zhuge Xiao-dong, and Yarovoy A G. A sparse aperture MIMO-SAR-Based UWB imaging system for concealed weapean detection[J]. IEEE Transactions on Geoscience and Remote Sesing, 2011, 49(1): 509-518.
  • 8Ralston T S and Chartvat G L. Real-time through-wall imaging using an ultra-wideband Multiple-Input Multipl~ Output (MIMO) phased array radar systemiC]. IEEE International Symposium on Phased Array Sytems and Technology, Waltham MA, USA, Oct. 2010: 551-558.
  • 9Masbernat X P, Amin M G, Ahmad F, et al.. An MIMO-MTI approach for through-the- wall radar imaging applications[C]. International Waveform Diversity and Design Conference (WDD), Waltham MA, USA, Aug. 2010: 188-192.
  • 10Li J, Stoica P, and Wang Z S. Doubly constrained robust Capon beamformer[J]. IEEE Transactions on Signal Processing, 2004, 52(9): 2407-2423.

引证文献10

二级引证文献54

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