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

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Random Nyström Approach to Clutter Subspace Estimation for Polarimetric Space-Time Adaptive Processing

Electronics ◽

10.3390/electronics9091488 ◽

2020 ◽

Vol 9 (9) ◽

pp. 1488

Author(s):

Kang Zhao ◽

Zhiwen Liu ◽

Shuli Shi ◽

Yulin Huang ◽

Yougen Xu

Keyword(s):

Computational Complexity ◽

Covariance Matrix ◽

Selection Procedure ◽

Space Time ◽

Adaptive Processing ◽

Noise Covariance Matrix ◽

Noise Covariance ◽

Subspace Estimation ◽

Simulation Results ◽

Space Time Adaptive Processing

A random Nyström (R-Nyström) scheme for clutter subspace estimation is proposed in the context of polarimetric space-time adaptive processing (pSTAP). Unlike the standard Nyström scheme making use of only partial columns of the clutter plus noise covariance matrix (CNCM), R-Nyström exploits full CNCM information with a properly designed selection procedure under the newly developed random ridge cross leverage score (RRCLS) criterion. With R-Nyström, sup-ported by the complete CNCM columns, upgraded clutter subspace estimation can be achieved at the expense of an insignificant increase in computational complexity, in contrast to the standard Nyström. The R-Nyström-based pSTAP, termed pR-Nyström, is shown to be superior over the current eigendecomposition-free subspace pSTAP in the signal to clutter plus noise loss and computational complexity. The efficacy of R-Nyström/pR-Nyström is validated by the simulation results.

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Cross Beam STAP for Nonstationary Clutter Suppression in Airborne Radar

International Journal of Antennas and Propagation ◽

10.1155/2013/276310 ◽

2013 ◽

Vol 2013 ◽

pp. 1-5 ◽

Cited By ~ 2

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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