A Novel Clutter Covariance Matrix Estimation Method Based on Feature Subspace for Space-Based Early Warning Radar

A Novel Clutter Covariance Matrix Estimation Method Based on Feature Subspace for Space-Based Early Warning Radar

Accurate estimation of the clutter covariance matrix for the cell under test (CUT) is a committed step in the spatial-temporal adaptive processing (STAP) algorithm. The unique nonstationary characteristic of signal for space-based early warning radar (SBEWR) leads to the spatial variation of trainin...

Full description

Bibliographic Details
Main Authors: Tianfu Zhang, Zhihao Wang, Ning Qiao, Shuangxi Zhang, Mengdao Xing, Yongliang Wang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Covariance matrix estimation
heterogeneous environment
space-based early warning radar (SBEWR)
spatial-temporal adaptive processing (STAP)
training sample
Online Access:https://ieeexplore.ieee.org/document/9594675/

Internet

https://ieeexplore.ieee.org/document/9594675/

Similar Items