Two-dimensional ISAR model and image reconstruction with stepped frequency-modulated signal

Karakasiliotis, A.; Lazarov, Andon; Frangos, Panayiotis; Boultadakis, G.; Kalognomos, G.

doi:10.1049/iet-spr:20070115

Cited by 21 publications

(9 citation statements)

References 12 publications

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“…which is the usual expression of the roundtrip for the extended 'stop-go' model for the fast moving targets in the ISAR [7][8][9][10][11][12][13][14][15][16][17]. In that model, only the slant range caused by the motion during the pulse propagating time is considered, and the motion during the pulse transmitting and receiving times has been ignored.…”

Section: Accurate Echo Geometrymentioning

confidence: 99%

“…By multiplying (16) by (17), the frequency centre is corrected, and the bandwidth synthesis can be processed smoothly.…”

Section: Frequency Centre Correctionmentioning

confidence: 99%

“…Besides, any target's motion causes the Doppler effect in a burst. To obtain an HRRP, the target's motion in a single burst should be compensated for well, and a variety of motion compensation methods have been proposed for the ISAR [7–12] and the SF‐ISAR [13–17] in the past decades. The translational motion compensation in the ISAR usually consists of two steps: envelope alignment and phase autofocus.…”

Section: Introductionmentioning

confidence: 99%

“…A phase coherence compensation method is proposed in [15], and its performance degrades when the overlapping band size decreases. The velocity estimation in [16] based on the difference of the range shifting direction works in a high signal‐to‐noise ratio (SNR). Those motion compensation methods might not be suitable for the far distanced fast moving targets because of the possible performance degradation of a prominent scatterer caused by the fast motion.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Stepped frequency synthetic preprocessing algorithm for inverse synthetic aperture radar imaging in fast moving target echo model

Zhou

Sun

Xia³

et al. 2014

IET Radar, Sonar & Navigation

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This paper first introduces an accurate inverse synthetic aperture radar echo model for the fast moving targets. In this model, the target's motion during the time periods of the pulse transmitting, propagating and receiving have been taken into account, and some problems, which have been ignored in the 'stop-go' model, may occur, for example, the varied ambiguity numbers and the drifted frequency centre. These problems will cause many difficulties in obtaining a high resolution range profile (HRRP) synthesis. To deal with these problems, a stepped frequency synthetic preprocessing (SFSP) algorithm is presented. The key of the proposed algorithm is synthetic preprocessing, including Doppler ambiguity suppression, echo coherence restoration and frequency centre correction, respectively. By completing the preprocessing, the HRRP can be achieved by a bandwidth synthesis and a well-focused image can be obtained by a keystone transform and an azimuth process, respectively. The simulation results validate the proposed SFSP algorithm by comparing it with the algorithm in the existing extended 'stop-go' model.

show abstract

Section: Accurate Echo Geometrymentioning

confidence: 99%

“…By multiplying (16) by (17), the frequency centre is corrected, and the bandwidth synthesis can be processed smoothly.…”

Section: Frequency Centre Correctionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Stepped frequency synthetic preprocessing algorithm for inverse synthetic aperture radar imaging in fast moving target echo model

Zhou

Sun

Xia³

et al. 2014

IET Radar, Sonar & Navigation

View full text Add to dashboard Cite

show abstract

“…For example, the maximum probability estimate [11] shows good performance when performing motion parameter estimation, but the amount of calculation of the method is large because it is necessary to search for the estimated values at multiple dimensions. An ISAR imaging motion compensation technology based on parameter estimation is studied in [12,13,14]. References [15,16,17] proposed a cross-correlation method with a small scope of measuring velocity and a minimum entropy method with a large computational cost.…”

Section: Introductionmentioning

confidence: 99%

Non-Stationary Platform Inverse Synthetic Aperture Radar Maneuvering Target Imaging Based on Phase Retrieval

Shi

Xia

Qin

et al. 2018

Sensors

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As a powerful signal processing tool for imaging moving targets, placing radar on a non-stationary platform (such as an aerostat) is a future direction of Inverse Synthetic Aperture Radar (ISAR) systems. However, more phase errors are introduced into the received signal due to the instability of the radar platform, making it difficult for popular algorithms to accurately perform motion compensation, which leads to severe effects in the resultant ISAR images. Moreover, maneuvering targets may have complex motion whose motion parameters are unknown to radar systems. To overcome the issue of non-stationary platform ISAR autofocus imaging, a high-resolution imaging method based on the phase retrieval principle is proposed in this paper. Firstly, based on the spatial geometric and echo models of the ISAR maneuvering target, we can deduce that the radial motion of the radar platform or the vibration does not affect the modulus of the ISAR echo signal, which provides a theoretical basis for the phase recovery theory for the ISAR imaging. Then, we propose an oversampling smoothness (OSS) phase retrieval algorithm with prior information, namely, the phase of the blurred image obtained by the classical imaging algorithm replaces the initial random phase in the original OSS algorithm. In addition, the size of the support domain of the OSS algorithm is set with respect to the blurred target image. Experimental simulation shows that compared with classical imaging methods, the proposed method can obtain the resultant motion-compensated ISAR image without estimating the radar platform and maneuvering target motion parameters, wherein the fictitious target is perfectly focused.

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Implementation of ISAR Imaging with Step Frequency and LFM Waveforms Using Gabor Transform

Rao

2015

Lecture Notes in Electrical Engineering

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Two-dimensional ISAR model and image reconstruction with stepped frequency-modulated signal

Cited by 21 publications

References 12 publications

Stepped frequency synthetic preprocessing algorithm for inverse synthetic aperture radar imaging in fast moving target echo model

Stepped frequency synthetic preprocessing algorithm for inverse synthetic aperture radar imaging in fast moving target echo model

Non-Stationary Platform Inverse Synthetic Aperture Radar Maneuvering Target Imaging Based on Phase Retrieval

Implementation of ISAR Imaging with Step Frequency and LFM Waveforms Using Gabor Transform

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