High-speed focusing algorithm for circular syntheticaperture radar (C-SAR)

Bara, M.; Sagues, L.; Paniagua, F.; Broquetas, A.; Fábregas, X.

doi:10.1049/el:20000633

Cited by 15 publications

(8 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fig. 5(a) denotes the contour plots of quadratic approximation imaging algorithm adapted in [6] and Fig. 5(b) delineates the imaging result of the proposed model based on cubic range approximation.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Consequently, CTSSAR has a prospective future in many applied fields such as fast large area battlefield reconnaissance, buried object detection, etc. Current researches are mostly focused on the side-looking CTSSAR, that is, the illuminating beam is consistently fixed perpendicular to the flying direction [6]. However, this limited condition restricts the practical use of CTSSAR.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Analysis on parameters and imaging algorithm of squint circular trace scanning SAR

Liao

Xing

Bao

et al. 2015

2015 IEEE Radar Conference (RadarCon)

View full text Add to dashboard Cite

The squint circular trace scanning synthetic aperture radar (squint CTSSAR) provides a practical option to realize fast large area synthetic aperture radar (SAR) imaging. However, its squint angle and unique flight trajectory result in its difference from other SAR imaging modes. This paper establishes the squint CTSSAR geometry model, and bases on which analyzes the related parameter characteristics, revealing the universality of the squint CTSSAR imaging mode. In addition, the range order accuracy is analyzed and an effective imaging algorithm is provided. In the end, the corresponding simulated experiments validate the feasibility and the effectiveness of the proposed imaging method.

show abstract

Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis on parameters and imaging algorithm of squint circular trace scanning SAR

Liao

Xing

Bao

et al. 2015

2015 IEEE Radar Conference (RadarCon)

View full text Add to dashboard Cite

show abstract

“…Fig. 2 presents the contour plot of the impulse responses for the point at the edge of the scene using the quadratic approximated method as shown in [3] and the proposed method, respectively. It is obvious that the target is well focused using the proposed method, whereas the image generated from the quadratic approximated method suffers from distortion and main-lobe broadening to some extent.…”

Section: Yi Liao Mengdao Xing and Zheng Baomentioning

confidence: 99%

“…Although processors of this kind can deal with the nonlinear trajectories perfectly, the computational time consumed is too large to apply it to practical use. In [3], a high‐speed focusing algorithm based on chirp scaling is proposed for the CTSSAR ground‐based system. The wave‐front construction method was used in [4] to perform CTSSAR imaging.…”

Section: Introductionmentioning

confidence: 99%

Imaging algorithm for circular trace scanning synthetic aperture radar using modified hyperbolic range equation

2013

View full text Add to dashboard Cite

For a circular trace scanning synthetic aperture radar (CTSSAR) system, the conventional quadratic range approximation method becomes inefficient when the squint angle exists and the integrated aperture is long. To improve the accuracy in the approximation of the range history for CTSSAR, a modified hyperbolic range equation is introduced to derive the corresponding two-dimensional spectrum and further develop the imaging algorithm for CTSSAR. Promising results prove the effectiveness of the proposed method.Introduction: Circular trace scanning synthetic aperture radar (CTSSAR) has attracted growing attention recently [1] owing to its increasing scanning speed in azimuth, which makes it suitable for widearea fast imaging. Owing to the circular shape of the trajectory, it is not efficient to use the conventional stripmap SAR processor which is based on the assumption of a rectilinear acquisition configuration. An intuitive plausible solution for this configuration is to build a matched filter to focus every pixel of the input data [2]. Although processors of this kind can deal with the nonlinear trajectories perfectly, the computational time consumed is too large to apply it to practical use. In [3], a highspeed focusing algorithm based on chirp scaling is proposed for the CTSSAR ground-based system. The wave-front construction method was used in [4] to perform CTSSAR imaging. Both the two methods are based on the quadratic range approximation. For ideal side-looking CTSSAR imaging, the quadratic approximation may be enough. When it comes to the situation where the squint mode is adopted and the integration time is long, the two-order range approximation becomes inadequate. In this Letter, a novel imaging algorithm is proposed based on the modified hyperbolic range equation. The high-order terms introduced from the circular trajectory are taken into consideration by introducing a modifying component to the hyperbolic range equation. Simulation results are provided to prove the effectiveness of the proposed method.

show abstract

“…CSAR owns many advantages over the conventional one that it has the capability to achieve subwavelength resolution in the ground plane due to its aperture of 360°. What is more, the multi-aspect observation of CSAR provides the information of the interested target from different azimuth directions, making it possible to realize a 3D reconstruction [6][7][8][9][10][11][12][13][14]. Although CSAR owns so many advantages, the imaging area is relatively small.…”

Section: Introductionmentioning

confidence: 99%

A novel modified Omega-K algorithm for circular trajectory scanning SAR imaging using series reversion

Liao

Xing

Zhang

et al. 2013

EURASIP J. Adv. Signal Process.

View full text Add to dashboard Cite

This article presents a modified Omega-K algorithm for circular trajectory scanning synthetic aperture radar (CTSSAR) imaging. Due to the curvature of circular trajectory, it is difficult to have access to the two-dimensional frequency spectrum for CTSSAR via the principle of stationary phase (POSP), as conventional SAR imaging methods RD and CS. Herein, the analytic point target spectrum is first derived by series reversion and the POSP, based on which a modified Omega-K algorithm is developed to focus data accurately. The accuracy can be controlled by keeping enough terms in the two series expansions so that a well-focused image can be achieved with a proper range approximation. After detailed analyses and experiments, the fourth-order approximation is proved to be the best choice. Furthermore, the computational efficiency is evaluated by comparing the given method with the back projection algorithm and other methods with different approximated orders. The proposed algorithm is verified to be the best one in terms of computational burden. A well-focused image is obtained by simulations, validating the feasibility of the proposed algorithm.

show abstract

High-speed focusing algorithm for circular syntheticaperture radar (C-SAR)

Abstract: The computational kemel of the DS-WRELAX algorithm involves obtaining the estimates {tt, 6,) of {Ze, oe} using eqn.

Cited by 15 publications

References 2 publications

Analysis on parameters and imaging algorithm of squint circular trace scanning SAR

Analysis on parameters and imaging algorithm of squint circular trace scanning SAR

Imaging algorithm for circular trace scanning synthetic aperture radar using modified hyperbolic range equation

A novel modified Omega-K algorithm for circular trajectory scanning SAR imaging using series reversion

Contact Info

Product

Resources

About