Micro-Doppler Reconstruction in Spaceborne SAR Images Using Azimuth Time–Frequency Tracking of the Phase History

Anghel, Andrei; Vasile, Gabriel; Ioana, Cornel; Cacoveanu, Remus; Ciochină, Silviu

doi:10.1109/lgrs.2016.2530817

Cited by 9 publications

(5 citation statements)

References 19 publications

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“…DFRFT is an effective method to estimate the time-varying accelerations, frequencies, and displacements associated with vibrating objects [10][11][12]. Moreover, a time-frequency tracking algorithm based on the high-order ambiguity function (HAF) is employed to reconstruct the instantaneous frequency law of the micro-Doppler [16,17]. In this section, we compare them with phase-analysis method.…”

Section: Comparison With Tf Analysis Method Dfrft-based Method and mentioning

confidence: 99%

“…In each window, HAF algorithm is applied, which is an iterative algorithm, to estimate the polynomial coefficients. After the initial reconstruction, the instantaneous frequency laws must be filtered in order to mitigate the possible gaps that may appear at the transitions between estimation windows [17]. On the other hand, the phase-analysis method needs neither iterative algorithm in each window nor filtering for estimated instantaneous frequency laws.…”

Section: Haf-based Methodsmentioning

confidence: 99%

“…Another extracting method of vibrating features based on slow time envelope (STE) signatures was presented in [15]. In [16] and [17], a micro-Doppler reconstruction method using azimuth time-frequency tracking of the phase history was proposed.…”

Section: Introductionmentioning

confidence: 99%

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Target vibration estimation in SAR based on phase-analysis method

Xia

Huang

2016

EURASIP J. Adv. Signal Process.

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An efficient vibration estimation method for synthetic aperture radar (SAR) systems based on phase-analysis method is presented. Small vibrations, which consist of multiple frequency components and are usually rather weak, introduce phase modulation in radar echoes. They contain important signatures of objects. Extracting and analyzing the phase from radar echoes is one of the significant approaches to acquire vibration characteristics. In order to separate different targets in different range cells, the proposed method acts the range compression and range migration correction on the radar echoes, followed by extracting the phase history of each target's radar echoes. Since the phase history contains the time-varying ranges from the targets to airborne radar besides the vibration signal, we apply wavelet transform to the phase history to extract the vibration signal. Then the vibration signatures would be estimated quantitatively. The method is a more efficient and convenient approach to estimate the vibration amplitudes and frequencies of one or more targets, whose vibration signal is a single-frequency or multi-frequency signal. Moreover, it can be applied in the case where the airborne radar moves along the desirable or undesirable trajectory. Simulation results indicate that this method provides a larger range of estimable vibration frequency, higher estimation precision, and lower computation complexity.

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Section: Comparison With Tf Analysis Method Dfrft-based Method and mentioning

confidence: 99%

Section: Haf-based Methodsmentioning

confidence: 99%

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Target vibration estimation in SAR based on phase-analysis method

Xia

Huang

2016

EURASIP J. Adv. Signal Process.

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“…On the other hand, the GNSS monitoring systems, combined with geotechnical, hydraulic and structural ones, could allow the monitoring of real-time dam displacements, with high accuracy, to ensure the correct functionality and the durability over time. Recent efforts in monitoring of dams using InSAR can be found in [13]- [15]. For a whole understanding of the dam's infrastructure deformation it is worth to study the relation between water levels and displacements.…”

Section: Introductionmentioning

confidence: 99%

Water Level measurement using COSMO-SkyMed Synthetic Aperture Radar

Biondi

Tarpanelli

Addabbo

et al. 2020

2020 IEEE 7th International Workshop on Metrology for AeroSpace (MetroAeroSpace)

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In this work, temporal series of Synthetic Aperture Radar (SAR) data are used to estimate water elevations. The proposed method is based on a Sub-Pixel Offset Tracking (technique) to retrieve the displacement of the double-bounce scattering effect of man made structures located in the proximity of the water surface. The experimental setup is focused on the cases of the Mosul dam in Iraq and the Missouri river in Kansas city. The proposed approach is applied to real data from the COSMO-SkyMed program. Results validated with in-situ and satellite radar altimeter measurements prove the effectiveness of the proposed method in measuring the water levels.

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“…That is to say, the real-time processing system is idle during the long data recording times and the utilization of computational resources is low. This problem is particularly obvious in spaceborne SAR systems due to their long radar range, high azimuth resolution, and thus long synthetic aperture length [ 13 ]. In this case, if the imaging processing starts after recording the azimuth data of a full-aperture time, the required data storage and computational load increases substantially [ 14 , 15 ], which undoubtedly increases the requirements for the hardware processing system of a spaceborne SAR and hinders real-time imaging processing.…”

Section: Introductionmentioning

confidence: 99%

A Real-Time Imaging Algorithm Based on Sub-Aperture CS-Dechirp for GF3-SAR Data

Sun

Liu

Xing

et al. 2018

Sensors

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Conventional synthetic aperture radar (SAR) imaging algorithms usually require a period of time to process data that is longer than the time it takes to record one synthetic aperture or that corresponding to an adequate azimuth resolution. That is to say, the real-time processing system is idle during the long data recording time and the utilization of computational resources is low. To deal with this problem, a real-time imaging algorithm based on sub-aperture chirp scaling dechirp (CS-dechirp) is proposed in this paper. With CS-dechirp, the sub-aperture data could be processed to form an image with relatively low resolution. Subsequently, a few low-resolution images are generated as longer azimuth data are recorded. At the stage of full-resolution image generation, a coherent combination method for the low-resolution complex-value images is developed. As the low-resolution complex-value images are coherently combined one by one, the resolution is gradually improved and the full-resolution image is finally obtained. The results of a simulation and real data from the GF3-SAR validate the effectiveness of the proposed algorithm.

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Micro-Doppler Reconstruction in Spaceborne SAR Images Using Azimuth Time–Frequency Tracking of the Phase History

Cited by 9 publications

References 19 publications

Target vibration estimation in SAR based on phase-analysis method

Target vibration estimation in SAR based on phase-analysis method

Water Level measurement using COSMO-SkyMed Synthetic Aperture Radar

A Real-Time Imaging Algorithm Based on Sub-Aperture CS-Dechirp for GF3-SAR Data

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