scholarly journals The Robust Ground Clutter Canceller Based on Inaccurate Prior Knowledge in Airborne Radar

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Bo Dang ◽  
Yan Zhou
Keyword(s):  
Prior Knowledge ◽  
Coefficient Matrix ◽  
Detection Algorithm ◽  
Airborne Radar ◽  
Moving Target ◽  
Two Dimensional ◽  
Clutter Suppression ◽  
System Parameters ◽  
Ground Clutter ◽  
Space Time Adaptive Processing

Two-dimensional pulse-to-pulse canceller (TDPC) of ground clutter can effectively suppress the clutter along the clutter trace, and therefore the moving target detectability of the following space-time adaptive processing (STAP) algorithm can be improved after TDPC as the clutter prefilter. However, TDPC may greatly impair the energy of moving target when inaccurate knowledge is exploited, which is detrimental to target detection. Aiming at this problem, a robust two-dimensional pulse-to-pulse canceller (RTDPC) of ground clutter is proposed. In order to enhance the TDPC’s robustness with inaccurate radar system parameters, which are mainly the platform velocity and crab angle, the errors of estimated platform velocity and crab angle are taken as the prior knowledge and added into the design of the clutter filter coefficient matrix. By exploiting RTDPC as the clutter prefilter, the moving target detectability of the following nonadaptive detection algorithm or STAP algorithm can also be enhanced. The simulated and MCARM data are utilized to verify the clutter suppression performance of RTDPC with inaccurate platform velocity and crab angle.

scholarly journals Ground Moving Target Imaging via SDAP-ISAR Processing: Review and New Trends

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2391
Author(s):  
Marco Martorella ◽  
Samuele Gelli ◽  
Alessio Bacci
Keyword(s):  
Homeland Security ◽  
Moving Target ◽  
Security Applications ◽  
Ground Clutter ◽  
Radar Systems ◽  
Joint Application ◽  
Target Imaging ◽  
Moving Target Imaging ◽  
Space Time Adaptive Processing ◽  
Border Surveillance

Ground moving target imaging finds its main applications in both military and homeland security applications, with examples in operations of intelligence, surveillance and reconnaissance (ISR) as well as border surveillance. When such an operation is performed from the air looking down towards the ground, the clutter return may be comparable or even stronger than the target’s, making the latter hard to be detected and imaged. In order to solve this problem, multichannel radar systems are used that are able to remove the ground clutter and effectively detect and image moving targets. In this feature paper, the latest findings in the area of Ground Moving Target Imaging are revisited that see the joint application of Space-Time Adaptive Processing and Inverse Synthetic Aperture Radar Imaging. The theoretical aspects analysed in this paper are supported by practical evidence and followed by application-oriented discussions.

scholarly journals Low-Altitude and Slow-Speed Small Target Detection Based on Spectrum Zoom Processing

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Xuwang Zhang ◽  
Songtao Lu ◽  
Jinping Sun ◽  
Wei Shangguan
Keyword(s):  
Target Detection ◽  
Doppler Frequency ◽  
Real Data ◽  
Detection Algorithm ◽  
Clutter Suppression ◽  
Slow Speed ◽  
Small Target Detection ◽  
Ground Clutter ◽  
Radar Systems ◽  
Low Altitude

This paper proposes a spectrum zoom processing based target detection algorithm for detecting the weak echo of low-altitude and slow-speed small (LSS) targets in heavy ground clutter environments, which can be used to retrofit the existing radar systems. With the existing range-Doppler frequency images, the proposed method firstly concatenates the data from the same Doppler frequency slot of different images and then applies the spectrum zoom processing. After performing the clutter suppression, the target detection can be finally implemented. Through the theoretical analysis and real data verification, it is shown that the proposed algorithm can obtain a preferable spectrum zoom result and improve the signal-to-clutter ratio (SCR) with a very low computational load.

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.

Two-dimensional pulse-to-pulse canceller of ground clutter in airborne radar

2009 ◽  
Vol 3 (2) ◽  
pp. 133 ◽  
Author(s):  
X.-M. Li ◽  
D.-Z. Feng ◽  
H.-W. Liu ◽  
M.-D. Xing ◽  
D. Luo
Keyword(s):  
Airborne Radar ◽  
Two Dimensional ◽  
Ground Clutter

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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