A Modified Nonlinear Chirp Scaling Algorithm for Spaceborne/Stationary Bistatic SAR Based on Series Reversion

Zeng, Tao; Wang, R.; Li, F.; Li, Teng

doi:10.1109/tgrs.2012.2219057

Cited by 23 publications

(10 citation statements)

References 22 publications

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“…However, the blurring would be introduced at close range [9, 12]. The methods [14–17] based on the series reversion are slightly different. The polynomial expression with respect to the slow time is required due to the theory of the series reversion.…”

Section: Introductionmentioning

confidence: 99%

“…The polynomial expression with respect to the slow time is required due to the theory of the series reversion. Consequently, the round‐trip range history with multiple receiver SAS should also be approximated via series approximation such as Taylor expansion [14, 17], Legendre approximation [15], Chebyshev approximation [16] and so on. Undoubtedly, the accuracy of this method is limited by the number of terms used in the power series.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Fast imaging algorithm for the multiple receiver synthetic aperture sonars

Zhang

Dai

Yang

2018

IET Radar, Sonar & Navigation

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fast imaging algorithm for the multiple receiver synthetic aperture sonars

Zhang

Dai

Yang

2018

IET Radar, Sonar & Navigation

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“…This kind of BiSAR is of great value to remote sensing applications, as it allows small and lightweighted unmanned aerial vehicles or in-orbit SAR satellite to produce bistatic images [6,7]. The onestationary BiSAR could be used to image the target area and exploit multi-dimensional information, such as region monitoring, resolution enhancement, and ground moving target detection and imaging, which makes broad application prospects in both civilian and military fields [8,9].…”

Section: Introductionmentioning

confidence: 99%

Focusing high-squint and large-baseline one-stationary bistatic SAR data using keystone transform and enhanced nonlinear chirp scaling based on an ellipse model

Zhong

Zhang

Sun

2017

EURASIP J. Adv. Signal Process.

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This paper deals with the imaging problem for one-stationary bistatic synthetic aperture radar (BiSAR) with highsquint, large-baseline configuration. In this bistatic configuration, accurate focusing of BiSAR data is a difficult issue due to the relatively large range cell migration (RCM), severe range-azimuth coupling, and inherent azimuthgeometric variance. To circumvent these issues, an enhanced azimuth nonlinear chirp scaling (NLCS) algorithm based on an ellipse model is investigated in this paper. In the range processing, a method combining deramp operation and keystone transform (KT) is adopted to remove linear RCM completely and mitigate range-azimuth cross-coupling. In the azimuth focusing, an ellipse model is established to analyze and depict the characteristic of azimuth-variant Doppler phase. Based on the new model, an enhanced azimuth NLCS algorithm is derived to focus one-stationary BiSAR data. Simulating results exhibited at the end of this paper validate the effectiveness of the proposed algorithm.

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“…Thus, FDAs are only available for some particular SAR imaging processing cases. Recently, monostatic FDAs [1,2,3,4], which include the range Doppler algorithm (RDA) [18,19,20], the Omega-k algorithm (OKA) [21,22,23,24], the chirp scaling algorithm (CSA) [25,26,27] and nonlinear CSA (NLCSA) [28,29,30,31], have been extended for BSAR imaging processing. Among the above-mentioned methods, RDA, OKA and CSA are only available for the azimuth-invariant BSAR imaging processing, thus they cannot always satisfy the precise imaging processing for the all BSAR configurations in practice, especially for azimuth-variant BSAR systems.…”

Section: Introductionmentioning

confidence: 99%

Efficient Time-Domain Imaging Processing for One-Stationary Bistatic Forward-Looking SAR Including Motion Errors

Xie

Shi²,

Xiao³

et al. 2016

Sensors

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With the rapid development of the one-stationary bistatic forward-looking synthetic aperture radar (OS-BFSAR) technology, the huge amount of the remote sensing data presents challenges for real-time imaging processing. In this paper, an efficient time-domain algorithm (ETDA) considering the motion errors for the OS-BFSAR imaging processing, is presented. This method can not only precisely handle the large spatial variances, serious range-azimuth coupling and motion errors, but can also greatly improve the imaging efficiency compared with the direct time-domain algorithm (DTDA). Besides, it represents the subimages on polar grids in the ground plane instead of the slant-range plane, and derives the sampling requirements considering motion errors for the polar grids to offer a near-optimum tradeoff between the imaging precision and efficiency. First, OS-BFSAR imaging geometry is built, and the DTDA for the OS-BFSAR imaging is provided. Second, the polar grids of subimages are defined, and the subaperture imaging in the ETDA is derived. The sampling requirements for polar grids are derived from the point of view of the bandwidth. Finally, the implementation and computational load of the proposed ETDA are analyzed. Experimental results based on simulated and measured data validate that the proposed ETDA outperforms the DTDA in terms of the efficiency improvement.

show abstract

A Modified Nonlinear Chirp Scaling Algorithm for Spaceborne/Stationary Bistatic SAR Based on Series Reversion

Cited by 23 publications

References 22 publications

Fast imaging algorithm for the multiple receiver synthetic aperture sonars

Fast imaging algorithm for the multiple receiver synthetic aperture sonars

Focusing high-squint and large-baseline one-stationary bistatic SAR data using keystone transform and enhanced nonlinear chirp scaling based on an ellipse model

Efficient Time-Domain Imaging Processing for One-Stationary Bistatic Forward-Looking SAR Including Motion Errors

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