ISAR Imaging of a Maneuvering Target Based on Parameter Estimation of Multicomponent Cubic Phase Signals

Huang, Penghui; Xia, Xiang-Gen; Zhan, Muyang; Liu, Xingzhao; Liao, Guisheng; Jiang, Xue

doi:10.1109/tgrs.2021.3091645

Cited by 23 publications

(11 citation statements)

References 49 publications

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“…The ISAR imaging algorithms for complex maneuvering targets have attracted significant attention [14]- [16]. Some imaging methods, such as range instantaneous Doppler (RID) algorithms [17]- [20] and autofocus algorithms [16], [21], [22], are presented to achieve the ISAR imaging of maneuvering targets with complex motions. In general, RID algorithms are usually divided into two categories: parametric methods and nonparametric methods.…”

Section: Introductionmentioning

confidence: 99%

“…In general, RID algorithms are usually divided into two categories: parametric methods and nonparametric methods. Parametric methods, such as [17], [20], model the echo within a range bin as a linear frequency modulated (LFM) signal or cubic phase signal, implementing ISAR imaging of complex maneuvering targets by estimating the parameters of the signal within each range bin and compensating for the phase error. However, parametric methods treat each range bin as an individual part, ignoring the integrity of the target rotational motion, which reduces the accuracy of parameter estimation and increases the computational complexity.…”

Section: Introductionmentioning

confidence: 99%

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An Effective Space-Borne ISAR High-Resolution Imaging Approach for Satellite On-Orbit Based on Minimum Entropy Optimization

Liu,

Yu,

Yang

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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The Space Situational Awareness (SSA) program places great significance on obtaining high-resolution images of satellite in space orbit. By utilizing space-borne inverse synthetic aperture radar (SBISAR) can achieve high-resolution imaging of Observed satellite (OS) on-orbit especially in geosynchronous orbit (GEO). However, the complex and nonuniform relative motion of the OS on-orbit and SBISAR produces 2-D spatial variant phase errors, which has a high-order form during long coherent processing intervals (CPI). Up to now, the imaging problem of SBISAR has not been effectively tackled. In this work, a novel method to compensate for the 2-D spatial variant phase errors for SBISAR imaging based on minimum entropy and quasi-Newton's method is proposed. First, the geometric model that considers the relative motion state of SBISAR and the OS on-orbit is established and the optimal observation time period is determined. Second, we propose the echo signal model for the satellite on-orbit and deduce the specific form of the highorder spatial variant phase errors. Third, based on image entropy (IE), quasi-Newton's method is adopted to obtain the optimal solution for the phase error coefficients. Finally, a new initial estimation method that aims to overcome the local convergence of quasi-Newton's method is proposed. By utilizing the optimal parameters, the well-focused SBISAR image can be achieved. Taking GEO satellite imaging as an example, experiments based on scattering point simulation data verify the effectiveness of the proposed method.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Effective Space-Borne ISAR High-Resolution Imaging Approach for Satellite On-Orbit Based on Minimum Entropy Optimization

Liu,

Yu,

Yang

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…Synthetic aperture radar (SAR) has proven to be an indispensable sensor both in civil and military applications, which has been extensively studied in recent decades [1][2][3][4]. Among different types of SAR system, geosynchronous SAR (GEO-SAR) can provide wide-area remote-sensing images with short revisit cycle, which has promising potential for advanced Earth observation missions [5].…”

Section: Introductionmentioning

confidence: 99%

A Novel Frequency-Domain Focusing Method for Geosynchronous Low-Earth-Orbit Bistatic SAR in Sliding-Spotlight Mode

et al. 2022

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The low-earth-orbit synthetic aperture radar (SAR) can achieve enhanced remote-sensing capabilities by exploiting the large-scale and long-duration beam coverage of a geosynchronous (GEO) SAR illuminator. Different bistatic imaging modes can be implemented by the steering of an antenna beam onboard the LEO receiver, such as high-resolution sliding-spotlight mode. In this paper, the accurate focusing of GEO-LEO bistatic SAR (GEO-LEO BiSAR) in sliding-spotlight mode is investigated. First, the two major problems of the accurate bistatic range model, i.e., curved trajectory within long integration time and ‘stop-and-go’ assumption error, for sliding-spotlight GEO-LEO BiSAR are analyzed. Then, a novel bistatic range model based on equivalent circular orbit trajectory is proposed to accurately represent the range history of GEO-LEO BiSAR in sliding-spotlight mode. Based on the proposed range model, a frequency-domain imaging method is put forward. First, a modified two-step preprocessing method is implemented to remove the Doppler aliasing caused by azimuth variance of Doppler centroid and beam steering. Then, an azimuth trajectory scaling is formulated to remove the azimuth variance of motion parameters due to curved trajectory. A modified frequency-domain imaging method is derived to eliminate the 2-D spatial variance and achieve accurate focusing of the echo data. Finally, imaging results and analysis on both simulated data and real data from an equivalent BiSAR experiment validate the effectiveness of the proposed method.

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“…R ADAR imaging of the ship target is the important means for the maritime monitoring and ship management, and is applied widely in the military and civilian domain [1], [2], [3], [4], [5], [6]. Abundant radar imaging algorithms have been proposed to attain the high-quality radar image of ship target [7], [8], [9], [10], [11], [12], while these algorithms only concern about the short observation time.…”

Section: Introductionmentioning

confidence: 99%

Optimal Time Selection for ISAR Imaging of Ship Target via Novel Approach of Centerline Extraction With RANSAC Algorithm

Cao

Wang

Zhang

et al. 2022

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Optimal time selection for inverse synthetic aperture radar imaging of ship target is significant for the determination of image project plane, and the performance of it is dependent on the accuracy of ship centerline extraction. In this article, a novel optimal time selection method based on the random sample consensus (RANSAC) technique is proposed, which can extract the ship centerline with high accuracy in the case of ship superstructure and low signal to noise ratio. First, a necessary distance threshold is determined for the RANSAC algorithm combined with the ship body width estimation. Then, a novel cost function is proposed according to the amplitude characteristic of radar image, which can alleviate the influence of randomness. Finally, the robustness of the optimal time selection method is demonstrated by the results of simulated and real measured data.

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ISAR Imaging of a Maneuvering Target Based on Parameter Estimation of Multicomponent Cubic Phase Signals

Cited by 23 publications

References 49 publications

An Effective Space-Borne ISAR High-Resolution Imaging Approach for Satellite On-Orbit Based on Minimum Entropy Optimization

An Effective Space-Borne ISAR High-Resolution Imaging Approach for Satellite On-Orbit Based on Minimum Entropy Optimization

A Novel Frequency-Domain Focusing Method for Geosynchronous Low-Earth-Orbit Bistatic SAR in Sliding-Spotlight Mode

Optimal Time Selection for ISAR Imaging of Ship Target via Novel Approach of Centerline Extraction With RANSAC Algorithm

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