Focused SAR Image Formation of Moving Targets Based on Doppler Parameter Estimation

Noviello, Carlo; Fornaro, G.; Martorella, Marco

doi:10.1109/tgrs.2014.2377293

Cited by 62 publications

(29 citation statements)

References 23 publications

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“…Since the introduction of synthetic aperture radar (SAR), it has found wide applications in many civilian and military applications due to its ability to generate high-resolution microwave images of observed scenes [1][2][3]. To meet increasing demands, the detection, identification, and tracking of ground-moving targets (GMTs) are of great significance for surveillance systems [4][5][6]. Reports have shown that a long synthetic aperture time is needed to produce a high-quality GMT imaging proposed to generate the image of a ground manoeuvring target by using the SAR technique based on the Hough-generalized high-order ambiguity function (Hough-GHAF).…”

Section: Introductionmentioning

confidence: 99%

An Efficient Ground Manoeuvring Target Refocusing Method Based on Principal Component Analysis and Motion Parameter Estimation

Liu

et al. 2020

Remote Sensing

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Refocusing ground manoeuvring targets with complex motions in synthetic aperture radar (SAR) remains a challenging objective because of the large range of cell migration (RCM) and time-varying Doppler frequency modulation (DFM). By exploiting the geometric information of RCM and two-dimensional (2-D) coherently integrated gain, a fast ground manoeuvring target refocusing method using principal component analysis (PCA) and high-order motion parameter estimation is proposed. First, an efficient phase difference (PD) method and PCA are utilized to correct the RCM, and then, the energy of the ground manoeuvring target is concentrated into the same range bin. Second, by utilizing the coherently integrated cubic phase function (CICPF) that was developed in our previous work, the motion parameters are obtained accurately, and the manoeuvring target is thus well refocused into a sharp peak point based on the estimated motion parameters. The proposed method is of low computational complexity because it avoids time-consuming search and interpolation operations and demonstrates an improved anti-noise performance due to fully exploiting the 2-D coherent accumulation characteristics for estimating motion parameters and enhanced refocused imaging results for manoeuvring targets due to adopting the high-order motion model. Finally, experiments are conducted using simulated and real SAR data to show the performance of the proposed method.

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Section: Introductionmentioning

confidence: 99%

An Efficient Ground Manoeuvring Target Refocusing Method Based on Principal Component Analysis and Motion Parameter Estimation

Liu

et al. 2020

Remote Sensing

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“…In recent years, many in‐depth types of researches on the SAR micro‐Doppler effects have been carried out [1–23]. Owing to the micro‐motion characteristics of targets with rotation and vibration, the azimuth echo signals of micro‐motion targets are generally modelled as the form of the sinusoidal frequency modulation (SFM) signal.…”

Section: Introductionmentioning

confidence: 99%

Hough transform‐based large micro‐motion target detection and estimation in synthetic aperture radar

Zhou

Shen

et al. 2019

IET Radar, Sonar & Navigation

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“…The first is range alignment which is coarse compensation [10,11]. The second is phase compensation which compensates the Doppler frequency shift caused by movement [1,5]. Range alignment and phase compensation are also referred to as autofocusing.…”

Section: Introductionmentioning

confidence: 99%

Refocusing Moving Ship Targets in SAR Images Based on Fast Minimum Entropy Phase Compensation

Xiang-li

Leng

et al. 2019

Sensors

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Moving ship targets appear blurred and defocused in synthetic aperture radar (SAR) images due to the translation motion during the coherent processing. Motion compensation is required for refocusing moving ship targets in SAR scenes. A novel refocusing method for moving ship is developed in this paper. The method is exploiting inverse synthetic aperture radar (ISAR) technique to refocus the ship target in SAR image. Generally, most cases of refocusing are for raw echo data, not for SAR image. Taking into account the advantages of processing in SAR image, the processing data are SAR image rather than raw echo data in this paper. The ISAR processing is based on fast minimum entropy phase compensation method, an iterative approach to obtain the phase error. The proposed method has been tested using Spaceborne TerraSAR-X, Gaofeng-3 images and airborne SAR images of maritime targets.

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Focused SAR Image Formation of Moving Targets Based on Doppler Parameter Estimation

Cited by 62 publications

References 23 publications

An Efficient Ground Manoeuvring Target Refocusing Method Based on Principal Component Analysis and Motion Parameter Estimation

An Efficient Ground Manoeuvring Target Refocusing Method Based on Principal Component Analysis and Motion Parameter Estimation

Hough transform‐based large micro‐motion target detection and estimation in synthetic aperture radar

Refocusing Moving Ship Targets in SAR Images Based on Fast Minimum Entropy Phase Compensation

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