fast imaging in ground-based circular strip-map synthetic aperture radar

نویسندگان

سید روح الله ثمره هاشمی

سید علیرضا سیدین

چکیده

at first, ground-based circular strip-map synthetic aperture radar (gb-csmsar) and its capabilities is introduced and the received signal model, 2-d frequency spectrum and the azimuth and range resolutions are derived and compared with the linear motion strip-map sar resolutions. because of the stability of the path and speed of antenna in gb-csmsar a frequency domain imaging algorithm is suggested that includes a 2-d fft of raw data, multiplication in reference data and a phase correction step in the range-doppler domain. simulations verify the accuracy of the suggested algorithm in image formation of targets in polar coordinates. it is shown that the speed of the algorithm can be increased and the needed memory can be decreased by omitting the phase correction step for targets with ranges near to reference range. finally the location of targets that don’t need phase error correction is extracted as “fast imaging region” according to the geometry and parameters of the system.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

model-based image formation in ground-based circular strip-map synthetic aperture radar

one of the problems in the ground-based circular synthetic aperture radar is the dependence of the azimuth resolution to the antenna rotation radius and operational limitation of increasing it. to enhance the image quality in azimuth, model-based image formation through three methods: matched filter, inverse filter and optimum filter is suggested and analyzed. for the purpose of comparison, thr...

متن کامل

3D Imaging Millimeter Wave Circular Synthetic Aperture Radar

In this paper, a new millimeter wave 3D imaging radar is proposed. The user just needs to move the radar along a circular track, and high resolution 3D imaging can be generated. The proposed radar uses the movement of itself to synthesize a large aperture in both the azimuth and elevation directions. It can utilize inverse Radon transform to resolve 3D imaging. To improve the sensing result, th...

متن کامل

Enhanced Three-Dimensional Imaging for Multi-Circular Synthetic Aperture Radar

In multi-circular synthetic aperture radar (MCSAR) mode, resolution and sidelobes are two important parameters to consider when representing imaging quality, as in other SAR imaging modes. In this paper, three-dimensional (3-D) resolution and cone-shaped sidelobes of MCSAR are analyzed for a point target in the scene center under the Nyquist sampling criterion. The results of the analysis show ...

متن کامل

Sparse representation-based synthetic aperture radar imaging

There is increasing interest in using synthetic aperture radar (SAR) images in automated target recognition and decision-making tasks. The success of such tasks depends on how well the reconstructed SAR images exhibit certain features of the underlying scene. Based on the observation that typical underlying scenes usually exhibit sparsity in terms of such features, this paper presents an image ...

متن کامل

Passive Synthetic Aperture Radar Imaging of Ground Moving Targets

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xii

متن کامل

a fast strip-mode synthetic aperture radar raw data simulator of moving targets

a fast and accurate synthetic aperture radar raw data generator of moving targets has high importance, especially in the applications of ground moving target indication. in this paper, in the hybrid time-frequency domain, a fast algorithm for strip mode sar raw data generation of moving targets has been proposed. using this simulator, in different conditions in terms of target motion speed, acc...

متن کامل

منابع من

با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید


عنوان ژورنال:
رادار

جلد ۳، شماره ۱، صفحات ۵۷-۰

کلمات کلیدی

میزبانی شده توسط پلتفرم ابری doprax.com

copyright © 2015-2023