SAR Remote Sensing Analysis of the Sea Surface by Polynomial Filtering [Applications Corner]

Caillec, J.-M. Le

doi:10.1109/msp.2007.4286568

Cited by 7 publications

(5 citation statements)

References 5 publications

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“…However, in practical applications, since the target is non-cooperative and the error of range measurement is unavoidable in the radar system, after translational motion compensation, RC is usually not coincided with RP. Assuming that the range difference between RC and RP is Δr = r a − r 0 , Equations (8) and (9) can be expressed as:…”

Section: Standard Polar Format Algorithm Model For Isar Imagingmentioning

confidence: 99%

“…Several useful ISAR imaging algorithms have been proposed in the literatures, such as the Range-Doppler algorithm (RDA) [2], the Keystone algorithm for precise de-coupling [3][4][5][6], and the polar format algorithm (PFA) [7][8][9][10]. The RDA is applicable when the rotation angle is small to ensure there is no significant migration through resolution cells (MTRC) and time-varying Doppler in the echoed signal.…”

Section: Introductionmentioning

confidence: 99%

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MTRC compensation in high-resolution ISAR imaging via improved polar format algorithm based on ICPF

Liu

Chen

Yuan

2014

EURASIP J. Adv. Signal Process.

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In this paper, we present a detailed analysis on the performance degradation of inverse synthetic aperture radar (ISAR) imagery with the polar format algorithm (PFA) due to the inaccurate rotation center. And a novel algorithm is developed to estimate the rotation center for ISAR targets to overcome the degradation. In real ISAR scenarios, the real rotation center shift is usually not coincided with the gravity center of the high-resolution range profile (HRRP), due to the data-driven translational motion compensation. Because of the imprecise information of rotation center, PFA image yields model errors and severe blurring in the cross-range direction. To tackle this problem, an improved PFA based on integrated cubic phase function (ICPF) is proposed. In the method, the rotation center in the slant range is estimated firstly by ICPF, and the signal is shifted accordingly. Finally, the standard PFA algorithm can be carried out straightforwardly. With the proposed method, wide-angle ISAR imagery of non-cooperative targets can be achieved by PFA with improved focus quality. Simulation and real-data experiments confirm the effectiveness of the proposal.

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Section: Standard Polar Format Algorithm Model For Isar Imagingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

MTRC compensation in high-resolution ISAR imaging via improved polar format algorithm based on ICPF

Liu

Chen

Yuan

2014

EURASIP J. Adv. Signal Process.

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“…According to (6) and (7), when the RC is located at the cell of the RP, the phase term of the dechirped signals can be expressed in polar format. Thus we can use the standard PFA algorithm to obtain a focused ISAR image without MTRC, as it is shown in Fig.…”

Section: Analysis and Simulation Of The Invalidation Of The Pfamentioning

confidence: 99%

“…However, in practical applications, the RC is not always the same as the RP. Assume that the distance of r 0 (t) and r a (t) is Δr = r a (t) − r 0 (t), (6) and (7) can be expressed as follows:…”

Section: Analysis and Simulation Of The Invalidation Of The Pfamentioning

confidence: 99%

“…Several popular ISAR signal processing algorithms are proposed in the literatures, such as the Range-Doppler algorithm (RDA) [2], the Keystone algorithm [3,4] and the polar format algorithm (PFA) [5][6][7]. The RDA is applicable when the rotation angle is small to ensure there is no significant migration through range cells (MTRC) and time-varying Doppler in the echoed signal.…”

Section: Introductionmentioning

confidence: 99%

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Invalidation Analysis and Revision of Polar Format Algorithm for Dechirped Echo Signals in Isar Imaging

Liu¹,

Li²,

Yuan³

et al. 2014

PIER M

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Abstract-In this paper, we present a detailed analysis on the invalidation of the polar format algorithm (PFA) for the dechirped echo signals in inverse synthetic aperture radar (ISAR) imaging. After the datadriven translational motion compensation, the polar section of the dechirped signals is often undermined, and then the PFA is invalid. A revision method by range shifting is proposed to compensate the echo signals, and the standard polar section is obtained. An improved performance was achieved on the simulated and real data experiments. The theoretical analysis and the proposed method are confirmed.

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Feasibility study: highly integrated chipset design for compact synthetic aperture radar payload on micro-satellite

Wang¹,

Fraser

Hong

et al. 2017

Journal of Electromagnetic Waves and Applications

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SAR Remote Sensing Analysis of the Sea Surface by Polynomial Filtering [Applications Corner]

Cited by 7 publications

References 5 publications

MTRC compensation in high-resolution ISAR imaging via improved polar format algorithm based on ICPF

MTRC compensation in high-resolution ISAR imaging via improved polar format algorithm based on ICPF

Invalidation Analysis and Revision of Polar Format Algorithm for Dechirped Echo Signals in Isar Imaging

Feasibility study: highly integrated chipset design for compact synthetic aperture radar payload on micro-satellite

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