期刊文献+

基于高阶统计量的低分辨雷达空间目标识别算法 被引量:10

Space Target Recognition Algorithm Of Low Resolution Radar Based On High Order Statistics
下载PDF
导出
摘要 针对低分辨率雷达体制下的空间目标识别问题,首先分析了空间目标的雷达特性规律,在此基础上,提出了基于高阶统计量的空间目标识别算法。计算机仿真实验表明,即使在较低的输入信噪比下,该算法依然对自旋稳定卫星、三轴稳定卫星和空间碎片等三类目标取得了比较好的识别效果。 In order to solve the problem of space target recogniton under low resolution radar system, this paper analyzes radar property of space target at first,then puts forward space target recognition algorithm based on high order statistics. Computer simulation shows:this algorithm gains good recognition effect of spin-stabilization satellite, three-axis-stabilization satellite and fragment, even though SNR is very low.
出处 《信号处理》 CSCD 北大核心 2006年第2期211-214,共4页 Journal of Signal Processing
关键词 高阶统计量 目标识别 空间目标 累积量 high order statistics target recognition space target cumulant
  • 相关文献

参考文献4

  • 1Giannakis G. B, Tsatsanis M. K. Signal detection and classification using matched filtering and higher-order statistics[ J]. IEEE trans. ASSP, 1990,38 (7) : 1284 - 1296.
  • 2Rosenblatt M. Cumulants and Cumulant Spectra[ J]. ADA143 412/5/HDM, 1983.
  • 3雷达系统[M].国防工业出版社,1980.
  • 4宋骊平,姬红兵,高新波.基于高阶累积量的目标机动检测新方法[J].电子学报,2004,32(1):154-156. 被引量:8

二级参考文献4

  • 1[1]Hong L.Multiresolutional estimation using wavelet transform[J].IEEE Trans on Aerospace and Electronic Systems,1993,29(4):1244-1251.
  • 2[2]Hong L.Multiresolutional multiple-model target tracking[J].IEEE Trans on Aerospace and Electronic Systems,1994,30(2):518-524.
  • 3[3]Nikias C L,Petropulu A P.Higher-Order Spectra Analysis:A Nonlinear Signal Processing Framework[M].Englewood Cliffs:PTR Prentice Hall,1993.
  • 4[4]Giannakis G B,Tsatsanis M K.Signal detection and classification using matched filtering and higher-order statistics[J].IEEE Trans Acoustics,Speech,Signal Processing,1990,38(7):1284-1296.

共引文献7

同被引文献107

引证文献10

二级引证文献30

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