Rank-Reduced STAP Based on Eigen-Decomposition of the Covariance Matrix

罗毅; 刘国岁; 苏卫民

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Rank-Reduced STAP Based on Eigen-Decomposition of the Covariance Matrix

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- Rank-Reduced STAP Based on Eigen-Decomposition of the Covariance Matrix
- Acta Electronica Sinica Issue 12, Pages: 95-97(1999)
- 作者机构：
  
  1. 南京理工大学电光学院!南京
  2. 210094
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.7
- Published：1999
- 稿件说明：
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[1]罗毅,刘国岁,苏卫民.基于杂波协方差矩阵特征向量分析STAP降维方法[J].电子学报,1999(12):95-97.

罗毅, 刘国岁, 苏卫民. Rank-Reduced STAP Based on Eigen-Decomposition of the Covariance Matrix[J]. Acta Electronica Sinica, 1999, (12): 95-97.
[1]罗毅,刘国岁,苏卫民.基于杂波协方差矩阵特征向量分析STAP降维方法[J].电子学报,1999(12):95-97. DOI：

罗毅, 刘国岁, 苏卫民. Rank-Reduced STAP Based on Eigen-Decomposition of the Covariance Matrix[J]. Acta Electronica Sinica, 1999, (12): 95-97. DOI：

摘要

本文在对杂波协方差矩阵的特征值、阵特征向量做出分析的基础上，讨论了无信噪比损失的降维的充要条件，并给出了一种满足该条件的降维变换阵的构造方法．最后基于一组Mountaintop数据对文中提出的算法作出了验证

Abstract

The selection of the transform matrix has an effect on the output signal to interference plus noise ratio. Itcan achieve its upper bound when transform matrix is selected in a special form. So

a new kind of rank-reduced STAP is proposed. When covdariance matrix is known

it is the same as the full dimension optimal STAP. When covariance matrix is unknown

it also has a good appearance.

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