Estimation of the total rotational velocity of a non‐cooperative target with a high cross‐range resolution three‐dimensional interferometric inverse synthetic aperture radar system

Ng, Brian W.-H.; Tran, Hai-Tan; Giusti, Elisa; Salvetti, Federica; Phan, An

doi:10.1049/iet-rsn.2016.0462

Cited by 15 publications

(15 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…6 a is used for the simulations. It consists of 46 point scatterers arranged to model an airplane target, and is chosen to be the same as the target used in [17] to facilitate comparison. The reported 3D InISAR technique uses interferometric processing to perform 3D reconstructions from ISAR images obtained from at least three radar receivers, offset from each other along two orthogonal baselines.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Some earlier works to estimate the total rotation vector of a target have been reported in the literature. The works in [17, 18] proposed a technique that is based on a single interferometric system, with enhanced image resolution through a second‐order local polynomial Fourier transform (LPFT) to estimate the total rotation vector. The estimation of the total rotation vector based on a bistatic radar imaging system was reported in [19].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Total rotational velocity estimation in a multistatic ISAR system

Phan¹,

Brisken

Ng³

et al. 2019

IET Radar, Sonar & Navigation

Self Cite

View full text Add to dashboard Cite

Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Total rotational velocity estimation in a multistatic ISAR system

Phan¹,

Brisken

Ng³

et al. 2019

IET Radar, Sonar & Navigation

Self Cite

View full text Add to dashboard Cite

“…From Equations (9) to (11), it can be seen that the Doppler shifts of ISAR images are L 1 V x T a /λy 0 and L 2 V z T a /λy 0 , respectively. Obviously, the Doppler shifts will lead to pixels misregistration between ISAR images.…”

Section: Signal Model Of Interferometric Inverse Synthetic Aperture Rmentioning

confidence: 99%

“…Historically, the application of inverse synthetic aperture radar (ISAR) imaging in target recognition is limited, owing to the fact that the technique only captures the projected two-dimensional (2-D) characteristics of the target. To overcome this drawback, interferometric ISAR (InISAR) that provides three-dimensional (3-D) information of the target has been developed [1][2][3][4][5][6][7][8][9][10][11]. InISAR systems are generally composed of several fixed channels, with one as both a transmitter and receiver and the rest as full-time receivers.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Translational Motion Parameters in Terahertz Interferometric Inverse Synthetic Aperture Radar (InISAR) Imaging Based on a Strong Scattering Centers Fusion Technique

et al. 2019

View full text Add to dashboard Cite

Translational motion of a target will lead to image misregistration in interferometric inverse synthetic aperture radar (InISAR) imaging. In this paper, a strong scattering centers fusion (SSCF) technique is proposed to estimate translational motion parameters of a maneuvering target. Compared to past InISAR image registration methods, the SSCF technique is advantageous in its high computing efficiency, excellent antinoise performance, high registration precision, and simple system structure. With a one-input three-output terahertz InISAR system, translational motion parameters in both the azimuth and height direction are precisely estimated. Firstly, the motion measurement curves are extracted from the spatial spectrums of mutually independent strong scattering centers, which avoids the unfavorable influences of noise and the “angle scintillation” phenomenon. Then, the translational motion parameters are obtained by fitting the motion measurement curves with phase unwrapping and intensity-weighted fusion processing. Finally, ISAR images are registered precisely by compensating the estimated translational motion parameters, and high-quality InISAR imaging results are achieved. Both simulation and experimental results are used to verify the validity of the proposed method.

show abstract

“…In this paper, a new 3D InISAR imaging method based on respective Lv's distribution transformation [21,22] and iterative Doppler focussing (RLvDT-IDF) is proposed. Compared with [19,20], there are several essential differences in this paper:…”

Section: Introductionmentioning

confidence: 99%

Three‐dimensional InISAR imaging method for noncooperative targets based on respective LvD transformation and iterative Doppler focussing

Zhang

Dong

2021

IET Radar Sonar & Navi

View full text Add to dashboard Cite

Interferometric inverse synthetic aperture radar (InISAR) is an usually adopted approach for three-dimensional (3D) imaging of noncooperative target with a real or equivalent turntable motion. In practice, the Doppler frequency of non-cooperative target usually vary nonlinearly, especially when the rotational velocity of the target is fast or the imaging time is relatively long, the azimuth echoes of the target often contain quadratic phase terms. In this case, if we do not compensate the nonlinear phase terms contained in the echoes, the ISAR image will be defocused and then the 3D imaging quality will be degraded. Aiming at solving this problem, a new 3D InISAR imaging method based on respective Lv's distribution transformation and iterative Doppler focussing (RLvDT-IDF) is proposed in this paper. The major contributions of the proposed approach are as follows: (1) the echo of a range cell which can be treated as the superposition of a series of linear frequency modulation signals (LFMs) is processed by LvDT to specify the chirp rates (CRs) of these LFMs. The CRs are used to construct phase functions so as to remove the quadratic phase term contained in the echo by the IDF method;(2) Considering that the CRs within a range cell received by different channels are relatively different, so different ISAR images are focussed by respective LvDT-IDF (RLvDT-IDF), so all the well-focussed ISAR images can be obtained, which help to improve the accuracy of the image registration and scatterer extraction; (3) Considering that the phase information from the well-focussed ISAR images may have different errors by the RLvDT-IDF processing and the unfocused ISAR images contain the complete phase information, so they are used instead of the well-focussed ISAR images to estimate the interferometric phases of the extracted scatterers; (4) Based on the estimated CRs and 3D coordinates, the target's 3D rotation vector is retrieved by minimising the sum of squared residuals. Both simulations and practical experiment are conducted to validate the proposed method.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

show abstract

Estimation of the total rotational velocity of a non‐cooperative target with a high cross‐range resolution three‐dimensional interferometric inverse synthetic aperture radar system

Cited by 15 publications

References 20 publications

Total rotational velocity estimation in a multistatic ISAR system

Total rotational velocity estimation in a multistatic ISAR system

Estimation of Translational Motion Parameters in Terahertz Interferometric Inverse Synthetic Aperture Radar (InISAR) Imaging Based on a Strong Scattering Centers Fusion Technique

Three‐dimensional InISAR imaging method for noncooperative targets based on respective LvD transformation and iterative Doppler focussing

Contact Info

Product

Resources

About