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空时自适应处理导论：雷达环境与支柱(英文) 被引量：1

Introduction to Space-Time Adaptive Processing:Radar Context and Stakes
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摘要 主要是为了说明机载雷达环境下,空时自适应处理(STAP)对于不同任务(或雷达功能)的作用与影响,包括用于地面动目标探测的空对地任务或用于探测空中目标空对空任务。特别关注的是距离多普勒域内的杂波定位,它将为STAP需求提供基准,且也用于解释特定应用间的关键差别。由真实信号获取的典型结果用于说明预期优势。 The aim of this paper is to show in a airborne radar context, contribution of STAP process- ings according to the different missions（or radar functions） whether in air to ground mission（ground moving target detection） or in air to air mission（detection of air targets）. Special attention will be devoted to clutter localisation in the range-Doppler-angle domain, which provides the basis for STAP requirements, and which also explains the key differences between specific applications. Typical results on real signals will be used to illustrate the expected benefits.
作者 费朗索瓦·施瓦利艾 马克·蒙德哥 洛享·撒威
机构地区 Thales Air Operations Thales Systèmes Aéroportés ONERA
出处 《雷达科学与技术》 2012年第4期341-351,共11页 Radar Science and Technology
关键词 雷达 空时自适应处理 地面动目标显示 空对空 前或后多普勒 自适应性 radar space-time adaptive proeessing（STAP） ground moving target indication（GMTI） air to air post-or pre Doppler adaptivity
分类号 TN95 [电子电信—信号与信息处理] TN957 [电子电信—信号与信息处理]
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参考文献17

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同被引文献13

  • 1MELVIN W L. A STAP Overview[J]. IEEE Aero space and Electronic Systems Magazine, 2004, 19 ( 1 ) 19-35.
  • 2GREVE S D, RIES P, LAPIERRE FFramework and Taxonomy for Radar Space-Time Adaptive Processing (STAP) Methods [ J ]. IEEE Trans on Aerospace and Electronic Systems, 2007, 43(3) : 1084-1099.
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  • 4DEGURSE J F, SAVY L, MARCOS S. Reduced Rank STAP for Target Detection in Heterogeneous Environments [J]. IEEE Trans on Aerospace and Electronic Systems, 2014, 50(2) :1153-1162.
  • 5LI X, FENG D, LIU H, et al. Dimension-Reduced Space-Time Adaptive Clutter Suppression Algorithm Based on Low-Rank Approximation to Weight Matrix in Airborne Radar[J]. IEEE Trans on Aerospace and Electronic Systems, 2014, 50(1) :53-69.
  • 6WANG P, WANG Z, LI H, et al. Knowledge-Aided Parametric Adaptive Matched Filter with Automatic Combining for Covariance Estimation[J]. IEEE Trans on Signal Processing, 2014, 62(18):4711-4722.
  • 7BAUMGARTNER S V, KRIEGER G. A Priori Knowledge-Based Post-Doppler STAP for Traffic Monitoring Applications [C] // IEEE International Geoscience and Remote Sensing Symposium, Mu- nich: IEEE, 2012 : 6087-6090.
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  • 10SAVILLE M A, JACKSON J A, FULLER D F. Rethin- king Vehicle Classification with Wide-Angle Polari- metric SAR[J]. IEEE Aerospace and Electronic Sys- tems Magazine, 2014, 29(1) :41-49.

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雷达科学与技术
2012年 第4期

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