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

Zhou, Feng; Wu, Renbiao; Xing, Mengdao; Bao, Zheng

doi:10.1049/iet-rsn:20060040

Cited by 197 publications

(132 citation statements)

References 5 publications

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“…This process can also be achieved by applying the Keystone transform [35][36][37]. This transform is very effective if applied to raw or range-compressed signals [29][30][31]38], but this process is not a computationally efficient method.…”

Section: Of 16mentioning

confidence: 99%

Fast and Efficient Correction of Ground Moving Targets in a Synthetic Aperture Radar, Single-Look Complex Image

Park¹,

Kim

Won

2017

Remote Sensing

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Ground moving targets distort normally-focused synthetic aperture radar (SAR) images. Since most high-resolution SAR data providers only offer single-look complex (SLC) data rather than raw signals to general users, they need to apply a simple and efficient residual SAR focusing to SLC data containing moving targets. This paper presents an efficient and effective SAR residual focusing method that is practically applicable to SLC data. The residual Doppler spectrum of the moving target is derived from a general SAR configuration and normal SAR focusing. The processing steps are simple and straightforward, with a limited size of the processing window, e.g., 64 × 64. Application results using simulation data and actual TerraSAR-X SLC data with a speed-controlled vehicle demonstrate the effectiveness of the method, which particularly improves the −3 dB width, integrated sidelobe ratio, and symmetry of the reconstructed signals. In particular, the azimuthal symmetry becomes seriously distorted when the target speed is higher than 8 m/s (or 28.8 km/h), and the symmetry is well recovered by the proposed method.

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Section: Of 16mentioning

confidence: 99%

Fast and Efficient Correction of Ground Moving Targets in a Synthetic Aperture Radar, Single-Look Complex Image

Park¹,

Kim

Won

2017

Remote Sensing

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“…The phase based approaches estimate the phase of the moving target in the raw data or in the SAR image. Normally, the phase chirp rate in azimuth is used for estimating the speed of the target [6][7][8][9][10]. The amplitude based approaches also considers the phase, however they focus the target for a set of speeds [5,11].…”

Section: Speed Estimation For Moving Targets In Synthetic Aperture Radarmentioning

confidence: 99%

Moving Target Relative Speed Estimation in the Presence of Strong Stationary Surrounding Using a Single Antenna UWB SAR System

Sjogren

Pettersson

2008

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium

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This paper investigates how relative speed estimation of moving targets in Synthetic Aperture Radar (SAR) images is affected by strong stationary surrounding clutter. The result extends previous work by estimating moving target relative speed under the influence of clutter and Gaussian noise. The results obtained show that good estimates can be obtained even in situations with relatively high clutter and noise, i.e. SNR and SCR lower than 10dB.

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“…So, residual linear RCM still exists for targets away from the reference target. Keystone Transform (KT) is a data reformatting technique that is generally used to correct the range walk [26] or range curvature [27] of moving targets. Because it is independent of the motion parameters, it can correct the range walk or range curvature of all targets in the scene without knowing their velocities, regardless of the target position.…”

Section: Introductionmentioning

confidence: 99%

Focusing Translational Variant Bistatic Forward-Looking SAR Using Keystone Transform and Extended Nonlinear Chirp Scaling

Sun

et al. 2016

Remote Sensing

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Bistatic Synthetic Aperture Radar (SAR) has attracted increasing attention in recent years due to its unique advantages, such as the ability of forward-looking imaging. In translational variant bistatic forward-looking SAR (TV-BFSAR), it is difficult to get a well focused image due to large range cell migration (RCM) and 2-D variation of both Doppler characteristics and RCM. In this paper, an extended azimuth nonlinear chirp scaling (NLCS) algorithm is proposed to deal with these problems. Firstly, Keystone Transform (KT) is introduced to remove the spatial-variant linear RCM, which is of great significance in TV-BFSAR. Secondly, a correction factor is multiplied to the signal in range frequency domain to compensate for the residual RCM. At last, a fourth-order filtering together with azimuth NLCS is performed in every range gate to equalize both the azimuth-variant Doppler centroid and frequency modulation rate based on the azimuth numerical fitting. The proposed method is verified by simulation and real data processing. Multiple targets are generated and focused by the method, of which the peak sidelobe ratio (PSLR) is around −13 dB and integrated sidelobe ratio (ISLR) is around −10 dB. The method is accurate and can achieve high-resolution focusing for TV-BFSAR data.

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

Cited by 197 publications

References 5 publications

Fast and Efficient Correction of Ground Moving Targets in a Synthetic Aperture Radar, Single-Look Complex Image

Fast and Efficient Correction of Ground Moving Targets in a Synthetic Aperture Radar, Single-Look Complex Image

Moving Target Relative Speed Estimation in the Presence of Strong Stationary Surrounding Using a Single Antenna UWB SAR System

Focusing Translational Variant Bistatic Forward-Looking SAR Using Keystone Transform and Extended Nonlinear Chirp Scaling

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