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Journal ArticleDOI

Approach for single channel SAR ground moving target imaging and motion parameter estimation

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TLDR
A novel approach is proposed for the ground moving target imaging and motion parameter estimation using single channel SAR using second-order generalised keystone formatting method and Doppler parameters of moving targets obtained via spectral analysis.
Abstract
In recent years, ground moving target imaging in synthetic aperture radar (SAR) has attracted the attention of many researchers all over the world. A novel approach is proposed for the ground moving target imaging and motion parameter estimation using single channel SAR. First, a second-order generalised keystone formatting method is used to compensate for the range curvature. Secondly, the estimated slope of the target echo's envelope is used for the range walk compensation. Thirdly, Doppler parameters of moving targets obtained via spectral analysis are used for the imaging and positioning of ground moving targets. Finally, motion parameters of moving targets can be estimated on the basis of the relationship between Doppler and motion parameters. Both numerical and experimental results are provided to demonstrate the performance of the proposed approach.

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Citations
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Journal ArticleDOI

Ground Moving Targets Imaging Algorithm for Synthetic Aperture Radar

TL;DR: Theoretical analysis confirms that the methodology can precisely focus targets without interpolation procedure, and the effectiveness of the proposed imaging technique is demonstrated by both simulated and real airborne SAR data.
Journal ArticleDOI

Doppler Keystone Transform: An Approach Suitable for Parallel Implementation of SAR Moving Target Imaging

TL;DR: Simulations show that by combining the DKT and the Doppler phase compensation methods, the moving target can be well imaged in high signal-clutter-ratio case.
Journal ArticleDOI

Long-Time Coherent Integration for Weak Maneuvering Target Detection and High-Order Motion Parameter Estimation Based on Keystone Transform

TL;DR: Compared with the generalized Radon Fourier transform (GRFT), the proposed method can acquire a close integration performance but with lower computational complexity since the parameter searching dimension is reduced.
Journal ArticleDOI

A Novel Method for Parameter Estimation of Space Moving Targets

TL;DR: A novel parameter estimation method based on keystone transform and Radon-Fourier transform for space moving targets with high-speed maneuvering performance that can overcome the limitation of Doppler frequency ambiguity and correct range curvature for all targets in one processing step, which simplifies the operation procedure.
Journal ArticleDOI

Focusing Bistatic Forward-Looking SAR With Stationary Transmitter Based on Keystone Transform and Nonlinear Chirp Scaling

TL;DR: Numerical simulations show that by combining first-order keystone transform and azimuth NLCS operation, the raw data of ST-BFSAR can be well imaged.
References
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Book

Spotlight synthetic aperture radar : signal processing algorithms

TL;DR: In this article, the authors present a spotlight SAR and polar format algorithm for non-planar motion polar format processing with phase error management and phase error magnitude of phase error requirements on a practical SAR motion sensor moving target effects.
Journal ArticleDOI

Phase gradient autofocus-a robust tool for high resolution SAR phase correction

TL;DR: The phase gradient autofocus technique for phase error correction of spotlight mode synthetic aperture radar (SAR) imagery is examined carefully in the context of four fundamental signal processing steps that constitute the algorithm.
Journal ArticleDOI

SAR imaging of moving targets

TL;DR: A method of forming synthetic aperture radar images of moving targets without using any specific knowledge of the target motion is presented, using a unique processing kernel that involves a one-dimensional interpolation of the deramped phase history which is called keystone formatting.

Multiple Moving Target Detection and Trajectory Estimation Using a Single

TL;DR: The so-called azimuth position uncertainty problem is therefore solved and the method exploits the structure of the amplitude and phase modulations of the returned echo from a moving target in the Fourier domain.
Journal ArticleDOI

Multiple moving target detection and trajectory estimation using a single SAR sensor

TL;DR: In this paper, a generalized likelihood ratio test approach is adopted to detect moving targets and derive their trajectory parameters, and the proposed method yields good results for, roughly, signal-to-clutter ratio (SCR) > 10 dB.
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