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利用FB-MAPES算法估计Tomography SAR高度维信号源数

任笑真 杨汝良

任笑真, 杨汝良. 利用FB-MAPES算法估计Tomography SAR高度维信号源数[J]. 电子与信息学报, 2009, 31(7): 1669-1673. doi: 10.3724/SP.J.1146.2008.00735
引用本文: 任笑真, 杨汝良. 利用FB-MAPES算法估计Tomography SAR高度维信号源数[J]. 电子与信息学报, 2009, 31(7): 1669-1673. doi: 10.3724/SP.J.1146.2008.00735
Ren Xiao-zhen, Yang Ru-liang. On Detection of Number of Tomography SAR Signals in the Elevation Direction Using the FB-MAPES Method[J]. Journal of Electronics & Information Technology, 2009, 31(7): 1669-1673. doi: 10.3724/SP.J.1146.2008.00735
Citation: Ren Xiao-zhen, Yang Ru-liang. On Detection of Number of Tomography SAR Signals in the Elevation Direction Using the FB-MAPES Method[J]. Journal of Electronics & Information Technology, 2009, 31(7): 1669-1673. doi: 10.3724/SP.J.1146.2008.00735

利用FB-MAPES算法估计Tomography SAR高度维信号源数

doi: 10.3724/SP.J.1146.2008.00735

On Detection of Number of Tomography SAR Signals in the Elevation Direction Using the FB-MAPES Method

  • 摘要: 层析成像合成孔径雷达(Tomography SAR)结合空间谱估计技术解决层叠效应时,首先要估计出高度维信号源数目,信号源数估计得正确与否直接关系到后续处理的估计性能。用传统的信息论方法估计时,由于数据受乘性噪声影响,估计性能下降。该文提出一种新的信号源数估计方法:双向平滑多视幅相估计(FB-MAPES)滤波器算法。通过Monte Carlo仿真对信息论方法中的GMDL算法和FB-MAPES方法的估计性能进行了比较,试验结果表明该文提出的方法能够更好地适应乘性噪声的影响,因而在估计Tomography SAR高度维信号源数时性能优于传统的信息论方法。
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出版历程
  • 收稿日期:  2008-06-03
  • 修回日期:  2009-01-14
  • 刊出日期:  2009-07-19

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