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Exploiting persymmetry for low-rank Space Time Adaptive Processing

G. Ginolhac, P. Forster, F. Pascal, J.P. Ovarlez
2014 Signal Processing  
Reducing the number of secondary data used to estimate the Covariance Matrix (CM) for Space Time Adaptive Processing (STAP) techniques is still an active research topic.  ...  By using other features of the radar system, other properties of the CM can be exploited to further reduce the number of secondary data: this is the case for active systems using a symmetrically spaced  ...  Acknowledgment We thank the French DGA/MI Agency for providing us the STAP Data set.  ... 
doi:10.1016/j.sigpro.2013.10.026 fatcat:wpjkukfm6zhadfzfo64pqqcsya

Exploiting Persymmetry For Low-Rank Space Time Adaptive Processing

P. Forster, Guillaume Ginolhac, Jean-Philippe Ovarlez, Frédéric Pascal
2012 Zenodo  
INTRODUCTION In Space Time Adaptive Processing (STAP) for radar applications [1] , the disturbance is composed of white Gaussian thermal noise plus ground clutter.  ...  This low rank-structure can be exploited for target detection by designing adaptive filters which require much less secondary data than conventional adaptive schemes with equivalent performance [4, 5]  ... 
doi:10.5281/zenodo.52583 fatcat:y3dceszdkfbwtkitjmimwi4wnq

Space-time adaptive processing in bistatic passive radar exploiting complex Bayesian learning

Yimin D. Zhang, Braham Himed
2014 2014 IEEE Radar Conference  
In this paper, we develop a new space-time adaptive processing (STAP) technique for bistatic passive radar by exploiting clutter sparsity so as to enable effective clutter suppression with a small set  ...  The Bayesian compressive sensing (BCS) technique is utilized for sparse clutter reconstruction, and the persymmetry property of the STAP processor is used to cast the complex sparse signal recovery problem  ...  CONCLUSION We have examined the application of compressive sensing techniques for the implementation of space-time adaptive processing (STAP) in a bistatic passive radar.  ... 
doi:10.1109/radar.2014.6875723 fatcat:tsyidtciebgjxn3efi6rc7updm

A fast STAP method using persymmetry covariance matrix estimation for clutter suppression in airborne MIMO radar

Yan Zhou, Xiaoxuan Chen, Yanyan Li, Lin Wang, Bo Jiang, Dingyi Fang
2019 EURASIP Journal on Advances in Signal Processing  
In general, the space-time adaptive processing (STAP) can achieve excellent clutter suppression and moving target detection performance in the airborne multiple-input multiple-output (MIMO) radar for the  ...  As one of the most efficient dimension-reduced STAP methods, the extended factored approach (EFA) transforms the full-dimension STAP problem into several small-scale adaptive processing problems, and therefore  ...  Although the rank-reduced STAP methods exploit the low rank property of clutter and reduce the number of required training samples to twice of the clutter rank, they are computational intensive due to  ... 
doi:10.1186/s13634-019-0610-z fatcat:tko3h2ksrrgjzpztf6rfyjl7dy

Introduction to the Issue on Advanced Signal Processing Techniques for Radar Applications

Maria S. Greco, Yuri Abramovich, Jean-Philippe Ovarlez, Hongbin Li, Xiaopeng Yang
2015 IEEE Journal on Selected Topics in Signal Processing  
Sen, applies the idea of sparse signal processing for estimating the interference covariance matrix in a space-time adaptive processing (STAP) radar.  ...  for vectors, low-rankness for matrices etc.  ... 
doi:10.1109/jstsp.2015.2497458 fatcat:7tssxg3xw5g7pnxku5zjahhg7e

Multichannel adaptive signal detection: Basic theory and literature review [article]

Weijian Liu, Jun Liu, Chengpeng Hao, Yongchan Gao, Yong-Liang Wang
2021 arXiv   pre-print
We present the main deign criteria for adaptive detectors, investigate the relationship between adaptive detection and filtering-then-CFAR detection, relationship between adaptive detectors and adaptive  ...  Filtering is not needed as a processing procedure either, since the function of filtering is embedded in the adaptive detector.  ...  Precisely, the reduced-rank versions of the KGLRT, AMF, and ACE were exploited in [226] for the problem of space-time adaptive detection (STAD) in airborne radar with the data received by multiple sensors  ... 
arXiv:2102.03474v1 fatcat:iqj2pbyrhvam3apfsnnecljynq

Persymmetric Parametric Adaptive Matched Filter for Multichannel Adaptive Signal Detection

Pu Wang, Zafer Sahinoglu, Man-On Pun, Hongbin Li
2012 IEEE Transactions on Signal Processing  
Index Terms-Multichannel adaptive signal detection, maximum likelihood estimation, multichannel autoregressive process, parametric approach, persymmetry.  ...  This paper considers a parametric approach for adaptive multichannel signal detection, where the disturbance is modeled by a multichannel auto-regressive (AR) process.  ...  Combining (34) and (44), the overall space-time covariance matrix R of a persymmetric AR process is proved to be a persymmetric-block-Toeplitz matrix.  ... 
doi:10.1109/tsp.2012.2190411 fatcat:3eagi7bngnfclbyuefp2y4xrvq

Kronecker STAP and SAR GMTI [article]

Kristjan Greenewald, Edmund Zelnio, Alfred Hero III
2016 arXiv   pre-print
Space-time adaptive processing (STAP) is often used on multiantenna SAR to remove the stationary clutter and enhance the moving targets.  ...  ., 2016) it was shown that the performance of STAP can be improved by modeling the clutter covariance as a space vs. time Kronecker product with low rank factors, providing robustness and reducing the  ...  Our goal in 1 and this work is to remove the disadvantages of MTI and SAR by combining their strengths (the ability to detect Doppler shifts and high spatial resolution) using space time adaptive processing  ... 
arXiv:1604.03622v1 fatcat:mq7dpjrl7rbvro6lsd7ll5a4de


Anatolii A. Kononov
2018 Progress In Electromagnetics Research M  
For several representative scenarios when the interference CM has m dominant eigenvalues, comparative performance analysis for the proposed rapidly adaptive detectors is provided using Monte-Carlo simulations  ...  N CME to be used for estimating this CM.  ...  CONDITION OF RELIABLE ADAPTIVE DETECTION Q = Q TDS /Q FRV General 2M × 2M M × 2M 2 Low-rank (LR) 2m × 2M m × 2M 2 LR + Persymmetry m × 2M m × M 2 LR + Toeplitz m/2 × 2M m × M/2 2 Analysis of the Q = Q  ... 
doi:10.2528/pierm18092401 fatcat:77yldxl6kfaapeuttc2djki7xa

Robust SAR STAP via Kronecker Decomposition [article]

Kristjan Greenewald, Edmund Zelnio, Alfred Hero
2016 arXiv   pre-print
Space-time adaptive processing (STAP) is often used to remove the stationary clutter and enhance the moving targets.  ...  In this work, it is shown that the performance of STAP can be improved by modeling the clutter covariance as a space vs. time Kronecker product with low rank factors.  ...  Space-time adaptive processing (STAP) is often used to remove the stationary clutter and enhance the moving targets.  ... 
arXiv:1605.01790v1 fatcat:2ewlsl4ebrhxtlolwpey6karea

Rank-Constrained Maximum Likelihood Estimation of Structured Covariance Matrices

Bosung Kang, Vishal Monga, Muralidhar Rangaswamy
2014 IEEE Transactions on Aerospace and Electronic Systems  
This paper develops and analyzes the performance of a structured covariance matrix estimate for the important practical problem of radar space-time adaptive processing in the face of severely limited training  ...  Crucially, the RCML estimator excels for low training, including the notoriously difficult regime of K ≤ N training samples.  ...  INTRODUCTION Space-time adaptive processing (STAP), i.e., joint adaptive processing in the spatial and temporal domains [1] [2] [3] , is the cornerstone of radar signal processing and creates the ability  ... 
doi:10.1109/taes.2013.120389 fatcat:qlmy2isbo5aqjp4wjy62ye4nce

Kronecker PCA Based Robust SAR STAP [article]

Kristjan Greenewald and Edmund Zelnio and Alfred O. Hero III
2015 arXiv   pre-print
In this work, it is noted that in addition to the oft noted low rank structure, the clutter covariance is also naturally in the form of a space vs time Kronecker product with low rank factors.  ...  Moving target detection is more challenging due to the "burying" of moving targets in the clutter and is often achieved using space-time adaptive processing (STAP) (based on learning filters from the spatio-temporal  ...  Space Time Adaptive Processing Let the vector d be a spatio-temporal "steering vector" [18] , that is, a matched filter for a specific target location/motion profile.  ... 
arXiv:1501.07481v3 fatcat:dcljnmzbibbkplsydzjcvpf6tq

Robust Covariance Matrix Estimation for Radar Space-Time Adaptive Processing (STAP) [article]

Bosung Kang
2016 arXiv   pre-print
Estimating the disturbance or clutter covariance is a centrally important problem in radar space time adaptive processing (STAP).  ...  In particular, we exploit both the structure of the disturbance covariance and importantly the knowledge of the clutter rank to yield a new rank constrained maximum likelihood (RCML) estimator.  ...  Figure 2 .1 uses the angle-Doppler space to illustrate the need for space-time adaptive processing (STAP).  ... 
arXiv:1602.05069v1 fatcat:mxy33joebrchdirix3k6vepg3e

2019 Index IEEE Transactions on Signal Processing Vol. 67

2019 IEEE Transactions on Signal Processing  
., TSP Sept. 1, 2019 4624-4635 Distributed Target Detection Exploiting Persymmetry in Gaussian Clutter.  ...  ., +, TSP May 1, 2019 2263-2274 Awards Awards for the IEEE Transactions on Signal Processing. TSP May 1, 2019 2469-2470 AWGN Adaptive Detection of Structured Signals in Low-Rank Interference.  ... 
doi:10.1109/tsp.2020.2968163 fatcat:dvvpqntb2rc2bjed5nnk4xora4

Space–Time Adaptive Processing and Motion Parameter Estimation in Multistatic Passive Radar Using Sparse Bayesian Learning

Qisong Wu, Yimin D. Zhang, Moeness G. Amin, Braham Himed
2016 IEEE Transactions on Geoscience and Remote Sensing  
Conventional space-time adaptive processing suffers from the requirement of a large number of secondary samples.  ...  By taking advantage of the intrinsic sparsity of the clutter in the angle-Doppler domain, the recently developed sparse Bayesian learning technique is employed for high-resolution clutter profile estimation  ...  Space-time adaptive processing (STAP) is considered an effective technique to MTI in cluttered environments.  ... 
doi:10.1109/tgrs.2015.2470518 fatcat:quph3qqmnffdjn3jye7xj6o6j4
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