Journal ArticleDOI
Ground Moving Target Extraction in a Multichannel Wide-Area Surveillance SAR/GMTI System via the Relaxed PCP
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TLDR
The results show the advantage of the proposed method in a nonhomogeneous environment when compared with a reduced-dimension space-time adaptive processing method.Abstract:
This letter presents a novel approach for extracting moving targets in a multichannel wide-area surveillance radar system. In the algorithm, after proper preprocessing and matrix combination, the combined matrix of radar echoes can be regarded as the superposition of three matrices, namely, a low-rank matrix of ground clutter, a sparse matrix of moving targets, and an entry-wise matrix of noise component. Then, the recently proposed relaxed version of principal component pursuit is used to realize ground clutter (low-rank matrix) and moving target (sparse matrix) separation under the influence of entry-wise noise. Both simulation and real data processing results are provided to demonstrate the effectiveness of the proposed method. In addition, the results show the advantage of the proposed method in a nonhomogeneous environment when compared with a reduced-dimension space-time adaptive processing method.read more
Citations
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Journal ArticleDOI
SAR Imaging With Undersampled Data via Matrix Completion
TL;DR: A novel SAR imaging algorithm that has effectively conquered the restriction of previous applications that each received channel must have a small number of samples and can be well focused even in the scenario of discarding a large percentage of the received pulses.
Journal ArticleDOI
Narrow-Band Interference Suppression via RPCA-Based Signal Separation in Time–Frequency Domain
TL;DR: The experimental results of simulated and measured data demonstrate that the proposed RPCA algorithm not only can suppress interference effectively, but also preserve the useful information as much as possible.
Journal ArticleDOI
Robust Clutter Suppression and Moving Target Imaging Approach for Multichannel in Azimuth High-Resolution and Wide-Swath Synthetic Aperture Radar
TL;DR: The proposed clutter suppression and imaging approach is not only adapted for uniformly displaced phase center sampling but also for the nonuniform sampling cases.
Journal ArticleDOI
Moving Target Tracking in Single- and Multichannel SAR
TL;DR: Methods for moving target tracking in single- and multichannel synthetic aperture radar (SAR) are presented and evaluated using data from the F-SAR system, and results are validated and compared with ground-based measurements on a highway section, demonstrating the accuracy of the presented method.
Journal ArticleDOI
Strong Clutter Suppression via RPCA in Multichannel SAR/GMTI System
TL;DR: A fast RPCA-based detection method for multichannel SAR under a strong clutter background even with channel unbalance or platform motion error is proposed and it can work cooperatively with the existing space-time adaptive processing method to get a more robust detection performance.
References
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Book
Compressed sensing
TL;DR: It is possible to design n=O(Nlog(m)) nonadaptive measurements allowing reconstruction with accuracy comparable to that attainable with direct knowledge of the N most important coefficients, and a good approximation to those N important coefficients is extracted from the n measurements by solving a linear program-Basis Pursuit in signal processing.
Proceedings Article
Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization
TL;DR: It is proved that most matrices A can be efficiently and exactly recovered from most error sign-and-support patterns by solving a simple convex program, for which it is given a fast and provably convergent algorithm.
Proceedings ArticleDOI
Space-time adaptive processing for airborne radar
TL;DR: An overview of partially adaptive STAP approaches is provided and the effect of STAP on angle and Doppler accuracy is described, and an approach for joint angle and doppler estimation in a STAP radar is described.
Posted Content
Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices
TL;DR: This paper has been withdrawn due to a critical error near equation (71).
Fast Convex Optimization Algorithms for Exact Recovery of a Corrupted Low-Rank Matrix
TL;DR: Two complementary approaches for solving the problem of recovering a low-rank matrix with a fraction of its entries arbitrarily corrupted are developed and compared, both several orders of magnitude faster than the previous state-of-the-art algorithm for this problem.