3D velocity estimation based on FrFT for multi‐static SAR

Liu, Mei; Wang, Pengfei; Wang, Zhigui

doi:10.1049/el.2016.2035

Cited by 7 publications

(4 citation statements)

References 3 publications

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“…It can be seen from Equation (10) and Equation ( 9) that the factors affecting the azimuth position offset include the target radial velocity, the wavelength, the ground beam scanning speed, the Doppler modulation frequency, and the look angle. This kind of azimuth delocalization of the target is usually called location error.…”

Section: Target Azimuth Delocalizationmentioning

confidence: 99%

“…According to Equation (10) and Equation ( 20), the azimuth position offset that is caused by turning movement of point target with position (r t ,a t ) can be obtained, as follows:…”

Section: Analysis Of Turning Motion Targetmentioning

confidence: 99%

“…There are also literature analyses of the imaging effect of moving targets with acceleration [7], that is, the third phase error and the asymmetric distortion of the image. Another part of the literature analyzes the influence of the complex motion of the target, such as the rotation motion of the target itself [8], three-dimensional motion [9,10], vibration, and other Sensors 2020, 20, 2201 2 of 19 fretting forms [11]. There are also a part of literatures that introduces the influence of ship fretting, such as the ship's three-dimensional swing, including roll, pitch, yaw, and so on [12,13].…”

Section: Introductionmentioning

confidence: 99%

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Research on Turning Motion Targets and Velocity Estimation in High Resolution Spaceborne SAR

Wen

Qiu

2020

Sensors

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The development of high resolution SAR makes the influence of moving target more prominent, which results in defocusing and other unexplained phenomena. This paper focuses on the research of imaging signatures and velocity estimation of turning motion targets. In this paper, the turning motion is regarded as the straight line motion of continuous change of moving direction. Through the analysis of the straight line motion with constant velocity and the geometric modeling of the turning motion in spaceborne SAR, the imaging signatures of the turning motion target are obtained, such as the broken line phenomenon at the curve. Furthermore, a method for estimating the turning velocity is proposed here. The radial velocity is calculated by the azimuth offset of the turning motion target and the azimuth velocity is calculated by the phase error compensated in the refocusing process. The amplitude and direction of the velocity can be obtained by using both of them. The results of simulation and GF-3 data prove the accuracy of the analysis of turning motion imaging signatures, and they also show the accuracy and validity of the velocity estimation method in this paper.

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Section: Target Azimuth Delocalizationmentioning

confidence: 99%

“…According to Equation (10) and Equation ( 20), the azimuth position offset that is caused by turning movement of point target with position (r t ,a t ) can be obtained, as follows:…”

Section: Analysis Of Turning Motion Targetmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Research on Turning Motion Targets and Velocity Estimation in High Resolution Spaceborne SAR

Wen

Qiu

2020

Sensors

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“…The FrFT method yields the best refocusing capabilities [5] and computationally efficient [6] for SAR signals.Compared to matching filter bank approach, applying FrFT to SAR signals is shown to be less biased and more robust [7] Accordingly, the fractional Fourier transform (FrFT) drags interest from the radar community that can be employed for MTD [8], beamforming [9], imaging [10], and waveform generation [11]. While concentrating on MTD, the echo of the moving target is considered as a chirp signal, and the energy of the signal is computed using FrFT in the Doppler Centroid (DC)-Doppler Frequency Rate (DFR) domain.…”

Section: Introductionmentioning

confidence: 99%

Moving Target Detection in Multichannel SAR Framework using Adaptive Neuro Fuzzy Decisive Technique

Jaya¹,

Krishna²

2019

IJRTE

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Precise and efficacious detection of moving targets is a prominent task in on-going synthetic aperture radar (SAR) technique. The perception of moving object allows quite significant data about the situation under observation for both surveillance and intelligence activities. The task of accurately locating moving targets against strong background clutter in minimum of time is of utmost interest in the current research area. Fractional Fourier Transform (FrFT) concentrates the energy of the required chirp signal so that it can be well separated from the chirp like noise. The proposed SAR Moving Target Detection (MTD) process is based on the combination of FrFT with the adaptive-neuro fuzzy decisive technique. The correlation among the received signal and the FrFT of the received signal are computed which maximizes the required signal energy and applied to the adaptive-neuro fuzzy decisive module that detects the target location adaptively using the fuzzy linguistic rules. The simulation is performed by changing the number of targets, different Pulse repetition intervals, antenna turn velocity, iterations and the analysis is carried out based on the metrics, like detection time, missed target rate, and Mean Square Error (MSE), proving that the proposed Adaptive-Neuro Fuzzy-based MTD process detected the object in 5.0237 secs with a minimum missed target rate of 0.1210 and MSE of 23377.48.

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A refocusing iterative optimization method based on the quad-beam mode for accurate estimation of the azimuth velocity of slow-moving targets using SAR

Bao

Zhang

Tang

et al. 2021

Remote Sensing Letters

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3D velocity estimation based on FrFT for multi‐static SAR

Cited by 7 publications

References 3 publications

Research on Turning Motion Targets and Velocity Estimation in High Resolution Spaceborne SAR

Research on Turning Motion Targets and Velocity Estimation in High Resolution Spaceborne SAR

Moving Target Detection in Multichannel SAR Framework using Adaptive Neuro Fuzzy Decisive Technique

A refocusing iterative optimization method based on the quad-beam mode for accurate estimation of the azimuth velocity of slow-moving targets using SAR

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