Circular SAR processing using an improved omega-k type algorithm

Kou, Leilei; Wang, Xiaoqing; Chong, Jong‐Wha; Xiang, Maosheng; Zhu, Meiping

doi:10.3969/j.issn.1004-4132.2010.04.008

Cited by 17 publications

(12 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To ensure all of the incremental units used in the current kernel invocation is set zero, the ending zero-setting index should be larger than the ending address of the aperture buffer at the last PRI of current batch, and can be calculated as (12) After the kernel, the processed pixels must be stored into the image buffer. The starting image-storing index of the aperture buffer can be calculated as (13) The ending image-storing index of the aperture buffer can be calculated as (14) Correspondingly, the starting image-storing index of the image buffer can be calculated as (15) The ending image-storing index of the image buffer can be calculated as (16) Furthermore, when the image buffer is full, it should store the sub-image into the massive storage device and be emptied for the next sub-image.…”

Section: B Data Scheduling Policymentioning

confidence: 99%

“…Those approximations, on the other hand, limit their application scopes and process precision to some extents. In face of a new work pattern, one have to analyze its signal characteristic, adjust the approximation and propose a new imaging algorithm [12], [13]. Back projection algorithm (BP) has been proposed for the tomography imaging in the early days [14], and used for SAR imaging for different working modes, such as the strip SAR [15]- [17], spotlight SAR [18], bistatic SAR [19], circular SAR [19], 3-D SAR [21]- [23], which has some significant advantages compared to the others.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Streaming BP for Non-Linear Motion Compensation SAR Imaging Based on GPU

Shi

Zhang

2013

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

View full text Add to dashboard Cite

As a high-quality imaging method for non-linear motion SAR, back projection (BP) algorithm's huge computational cost hinders its applications. In recent years, the emergence of GPU as a high-performance computing platform counteracts this disadvantage greatly, and brings the BP algorithm into people's perspective. In accord with the SAR's working procedures, the streaming structure is suitable for massive SAR data processing. Thus, a streaming BP algorithm and a piecewise high-order polynomial fitting method for IMU data preprocessing that is compatible to the streaming structure are proposed in this paper. The validity and performances of the fitting method are verified and discussed using actual IMU data. We find that the 9th-order polynomial fitting can meet the requirement of typical actual IMU data processing. The validity of the streaming BP for non-linear motion compensation is verified via actual SAR data, and its computing performance is analyzed and optimized on NVidia's GTX 590. The total runtime of the streaming BP on the GPU platform for an image with size 8192x8192 pixels is about 160 s, which can meet the requirements of many off-line SAR imaging applications.

show abstract

Section: B Data Scheduling Policymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Streaming BP for Non-Linear Motion Compensation SAR Imaging Based on GPU

Shi

Zhang

2013

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

View full text Add to dashboard Cite

show abstract

“…One method for CSAR imaging is to divide the 360 degree circular path into small arc segments, and then to utilize the reconstruction algorithm for the linear SAR system with slant correction [5]. Another algorithm which was based on the Fourier analysis for CSAR was presented in [6]. However, it only acquired the two dimensional circular SAR image, which is not accurate when the targets are distributed in three dimensional space.…”

Section: Introductionmentioning

confidence: 99%

A novel 3-D imaging technique for interferometric circular SAR system

Yan

Feng

Dang

et al. 2014

2014 XXXIth URSI General Assembly and Scientific Symposium (URSI GASS)

View full text Add to dashboard Cite

This paper introduces an interferometric circular synthetic aperture radar (CSAR) system for three dimensional (3-D) imaging of targets. A new interferometric CSAR method is presented by using the phase difference between a pair of two dimensional (2-D) CSAR images which are reconstructed from data obtained at two distinct circular apertures. Compared with the conventional interferometric SAR along a straight path, this imaging mode can be used not only to detect the hidden target in the scene, but also to improve the resolution of SAR system. To demonstrate the imaging capabilities of this approach, an indoor experiment is conducted within microwave chamber at X-band frequencies (8-12 GHz).

show abstract

“…Moreover, to improve the azimuth resolution of the rotating synthetic aperture radar (ROSAR) with circular trajectory, Wang et al [ 22 ] derived the approximate linear sampling model based on resampling and rotational transformation processing, and the extended Omega-K algorithm is used to obtain the ideal imaging results. In addition, since the second-order Taylor series expansion of the slant range will limit the effective synthetic aperture length and the range of reconstruction angle for ROSAR, Kou et al [ 23 , 24 ] put forward the modified Omega-K algorithm to improve the imaging results by keeping higher order terms of Taylor series expansion. Although the traditional Omega-K algorithm adopting the hyperbolic range model can accurately correct the range cell migration, and obtain a well-focused SAR image for hypersonic platform SAR, this algorithm can only accurately focus the targets located at the reference range, and the residual phase at the non-reference range cannot be compensated by the Stolt interpolation operation.…”

Section: Introductionmentioning

confidence: 99%

Multichannel High Resolution Wide Swath SAR Imaging for Hypersonic Air Vehicle with Curved Trajectory

Zhou

Sun

et al. 2018

Sensors

View full text Add to dashboard Cite

Synthetic aperture radar (SAR) equipped on the hypersonic air vehicle in near space has many advantages over the conventional airborne SAR. However, its high-speed maneuvering characteristics with curved trajectory result in serious range migration, and exacerbate the contradiction between the high resolution and wide swath. To solve this problem, this paper establishes the imaging geometrical model matched with the flight trajectory of the hypersonic platform and the multichannel azimuth sampling model based on the displaced phase center antenna (DPCA) technology. Furthermore, based on the multichannel signal reconstruction theory, a more efficient spectrum reconstruction model using discrete Fourier transform is proposed to obtain the azimuth uniform sampling data. Due to the high complexity of the slant range model, it is difficult to deduce the processing algorithm for SAR imaging. Thus, an approximate range model is derived based on the minimax criterion, and the optimal second-order approximate coefficients of cosine function are obtained using the two-population coevolutionary algorithm. On this basis, aiming at the problem that the traditional Omega-K algorithm cannot compensate the residual phase with the difficulty of Stolt mapping along the range frequency axis, this paper proposes an Exact Transfer Function (ETF) algorithm for SAR imaging, and presents a method of range division to achieve wide swath imaging. Simulation results verify the effectiveness of the ETF imaging algorithm.

show abstract

Circular SAR processing using an improved omega-k type algorithm

Cited by 17 publications

References 0 publications

Streaming BP for Non-Linear Motion Compensation SAR Imaging Based on GPU

Streaming BP for Non-Linear Motion Compensation SAR Imaging Based on GPU

A novel 3-D imaging technique for interferometric circular SAR system

Multichannel High Resolution Wide Swath SAR Imaging for Hypersonic Air Vehicle with Curved Trajectory

Contact Info

Product

Resources

About