Short-Range Clutter Suppression for Airborne Radar Using Sparse Recovery and Orthogonal Projection

2020 ◽  
pp. 1-5
Author(s):  
Wei Chen ◽  
Wenchong Xie ◽  
Yongliang Wang
Keyword(s):  
Orthogonal Projection ◽  
Short Range ◽  
Sparse Recovery ◽  
Airborne Radar ◽  
Clutter Suppression

Short-Range Clutter Suppression for Airborne Radar by Utilizing Prefiltering in Elevation

2009 ◽  
Vol 6 (2) ◽  
pp. 268-272 ◽  
Author(s):  
Xiangdong Meng ◽  
Tong Wang ◽  
Jianxin Wu ◽  
Zheng Bao
Keyword(s):  
Short Range ◽  
Airborne Radar ◽  
Clutter Suppression

Short-Range Clutter Suppression for Non-Side Looking Airborne Radar by Elevation Constraint Adaptive Processing

2014 ◽  
Vol 543-547 ◽  
pp. 2414-2417
Author(s):  
Fei He ◽  
Dong Chu Jiang
Keyword(s):  
Covariance Matrix ◽  
Short Range ◽  
Accurate Estimate ◽  
Airborne Radar ◽  
Adaptive Processing ◽  
Clutter Suppression ◽  
Noise Covariance Matrix ◽  
Noise Covariance ◽  
Eigen Decomposition ◽  
Space Time Adaptive Processing

Space-time adaptive processing (STAP) can obtain excellent clutter suppression performance based on the accurate estimate of clutter plus noise covariance matrix which is obtained by enough identical independent distributed samples. However, the short-range clutter of non-side looking airborne radar (non-SLAR) occurs range dependence. As a result, the clutter plus noise covariance matrix can not be estimated accurately and thus the clutter suppressing performance by STAP declines greatly. In this paper, an elevation constraint adaptive processing method is proposed. This method obtains the elevation target steering vector by the eigen-decomposition of the elevation covariance matrix on the ambiguous pure far-range clutter, it is used to suppress short-range clutter and the residual range-independent clutter can be suppressed by two-dimensional azimuth-Doppler STAP methods. Simulation results show validity of the proposed method.

scholarly journals Cross Beam STAP for Nonstationary Clutter Suppression in Airborne Radar

2013 ◽  
Vol 2013 ◽  
pp. 1-5 ◽  
Author(s):  
Yongliang Wang ◽  
Keqing Duan ◽  
Wenchong Xie
Keyword(s):  
Short Range ◽  
Degrees Of Freedom ◽  
Spatial Information ◽  
Space Time ◽  
Primary Component ◽  
Airborne Radar ◽  
Adaptive Processing ◽  
Clutter Suppression ◽  
Simulation Results ◽  
Space Time Adaptive Processing

A novel space-time adaptive processing (STAP) method for nonstationary clutter suppression is proposed. The developed method forms a multibeam along the cross line to participate in adaptive processing, which sufficiently utilizes the spatial information both in azimuth and elevation and guarantees the least system degrees of freedom (DOFs). The characteristics of this structure help to suppress the short-range clutter which is the primary component of nonstationary clutter. Therefore, this method provides favorable clutter suppression performance when clutter range dependence exists. Approach analysis and simulation results are given to demonstrate the effectiveness of the method.

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