A Comparative Study of Eigenspace-based Rank-reduced STAP Methods

ZHANG Liang; BAO zheng; LIAO Gui-sheng

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A Comparative Study of Eigenspace-based Rank-reduced STAP Methods

更新时间：2025-07-16

- A Comparative Study of Eigenspace-based Rank-reduced STAP Methods
- Acta Electronica Sinica Vol. 28, Issue 9, Pages: 27-30(2000)
- 作者机构：
  
  西安电子科技大学雷达信号处理重点实验室,710071
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN957.52
- Published：2000
- 稿件说明：
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ZHANG Liang, BAO zheng, LIAO Gui-sheng. A Comparative Study of Eigenspace-based Rank-reduced STAP Methods[J]. Acta Electronica Sinica, 2000, 28(9): 27-30.
DOI：

ZHANG Liang, BAO zheng, LIAO Gui-sheng. A Comparative Study of Eigenspace-based Rank-reduced STAP Methods[J]. Acta Electronica Sinica, 2000, 28(9): 27-30. DOI：

摘要

系统接收数据的杂噪协方差矩阵完整地包含了杂波和噪声信息

将其做特征分解(EVD)而得到的特征空间

可将杂噪能量按序排列

且各特征矢量相互正交且统计独立.基于特征空间作自适应处理

特别是降维自适应处理

便于探寻理论上的最佳方案.本文分别讨论了互谱法(CSM)、最小功率特征对消(MPE)以及最小范数特征对消(MNE)

从特征结构阐明了三种方法的内在关系

比较了它们的杂波抑制性能.

Abstract

The clutter and noise correlation matrix estimated from system received data almost comprises the entire information about clutter and noise.An eigenvalue division(EVD) of the matrix can provide an eigenspace and within the space one can rank the power of the clutter and noise according to the metrics of eigenvalues whose eigenvectors are statistically independent and orthogonal to each other.Studies on adaptive processing especially on reduced-rank processing based on eigenspace can help probing the optimum approach in theory.The cross spectral method(CSM)

minimum power eigencanceler(MPE) and minimum norm eigencanceler(MNE) are discussed respectively in this paper and the intrinsic relationship among them from the view of eigenstructure is revealed as well.Finally

the clutter suppression performance is compared by means of simulation.

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