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低信噪比下基于Keystone变换的高速多目标检测 被引量:3

Fast Maneuvering Multiple Targets' Detection at Low SNR Level Based on Keystone Transform
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摘要 微弱多目标检测中,高速运动目标的跨距离单元走动会影响长时间相参积累的效果,论文提出了在低信噪比情况下通过Keystone变换校正多目标的跨距离单元走动,对所有脉冲相参积累达到提高信噪比的目的,仿真实验结果验证了该方法的有效性。 In weak multiple targets detection,migration through range cells(MTRC)of high-speed targets would affect the performance of long time coherent integration.In this paper,a novel motion compensation method based on Keystone transform is presented,which can correct range migration.The SNR is improved through coherently accumulating all pulses.Performance of simulations verifies the value of the proposed algorithm.
作者 武洋 夏忠婷
出处 《计算机与数字工程》 2016年第4期625-629,共5页 Computer & Digital Engineering
关键词 微弱多目标检测 KEYSTONE变换 距离走动 相参积累 weak multiple targets detection Keystone transform range migration coherent integration
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  • 1MOLi WUSiliang LIHai.Radar Detection of Range Migrated Weak Target Through Long-Term Integration[J].Chinese Journal of Electronics,2003,12(4):539-544. 被引量:27
  • 2杨军,王民胜,保铮.一种ISAR多目标实时成像方法[J].电子学报,1995,23(4):1-5. 被引量:8
  • 3张顺生,曾涛.基于keystone变换的微弱目标检测[J].电子学报,2005,33(9):1675-1678. 被引量:119
  • 4何铮.雷达信号的长时间积累[M].南京:第7届全国雷达学术年会,1999..
  • 5Guan J, Zhang Y, Huang Y. Adaptive Subspace De tection of Range-Distributed Target in Compound Gaussian Clutter[J]. Digital Signal Processing, 2009 19(1) :66-78.
  • 6Alfano G, De Maio A, Farina A. ModebBased Adap- tive Detection of Range-Spread Targets[J]. IEE Proc Radar Sonar Navig, 2004, 151(1) :2-10.
  • 7He Y, Jian T, Su F, et al. Novel Range-Spread Tar- get Detectors in Non-Gaussian Clutter [J]. IEEE Trans on Aerospace and Electronic Systems, 2010, 46 (3) : 1312-1328.
  • 8Kay S M. Fundamentals of Statistical Signal Process- ing, Volume 2:Detection Theory[M]. New Jersey:Prentice Hall, 1998.
  • 9Barton D K. Radar System Analysis and Modeling [M]. Boston, MA:Artech House, 2004.
  • 10保铮,第7届全国雷达学术年会,1999年

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