digital signal processing of synthetic aperture radar data algorithms and implementation pdf

Digital Signal Processing Of Synthetic Aperture Radar Data Algorithms And Implementation Pdf

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This special issue arises from the spread of low-cost radar sensors and processing units which offer an extended range of applications. However, such technology is also available for inappropriate actions as terrorist attacks. Authors: D.

Digital Processing of Synthetic Aperture Radar Data: Algorithms and Implementation

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Signal Processing Fundamentals. Pulse Compression. Synthetic Aperture Concepts. SAR Signal Properties. The Range Doppler Algorithm. The Chirp Scaling Algorithm. The Omega-K Algorithm. Doppler Parameter Estimation. Comparison of Algorithms. Save to Library. Create Alert. Launch Research Feed. Share This Paper. Background Citations. Methods Citations. Results Citations. Supplemental Presentations.

Presentation Slides. Explore Further Discover more papers related to the topics discussed in this paper. Topics from this paper. CNS disorder. Citation Type. Has PDF. Publication Type. More Filters. Research Feed. Some issues of continuous wave synthetic aperture radar range resolution. View 2 excerpts, cites methods. View 2 excerpts, cites background. SAR processing under unstable flight conditions.

View 3 excerpts, cites methods. Gaussian linear frequency modulation signal SAR processing. Highly Influenced. View 8 excerpts, cites background and methods. Azimuth ambiguity suppression in SAR images using Doppler-sensitive signals. Synthetic Aperture Radar Data Processing. View 1 excerpt, cites background. Synthetic aperture radar algorithm for a global amplitude map. View 2 excerpts. Related Papers. By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy , Terms of Service , and Dataset License.

Digital Processing of Synthetic Aperture Radar Data

Synthetic-aperture radar SAR is a form of radar that is used to create two-dimensional images or three-dimensional reconstructions of objects, such as landscapes. SAR is typically mounted on a moving platform, such as an aircraft or spacecraft, and has its origins in an advanced form of side looking airborne radar SLAR. The distance the SAR device travels over a target in the time taken for the radar pulses to return to the antenna creates the large synthetic antenna aperture the size of the antenna. Typically, the larger the aperture, the higher the image resolution will be, regardless of whether the aperture is physical a large antenna or synthetic a moving antenna — this allows SAR to create high-resolution images with comparatively small physical antennas. Additionally, SAR has the property of having larger apertures for more distant objects, allowing consistent spatial resolution over a range of viewing distances. To create a SAR image, successive pulses of radio waves are transmitted to "illuminate" a target scene, and the echo of each pulse is received and recorded.

Digital Processing of Synthetic Aperture Radar Data

This book is not available from inventory but can be printed at your request and delivered within weeks of receipt of order. This cutting-edge resource offers you complete how-to guidance on digital processing of synthetic aperture radar SAR data. You discover how SAR is used to obtain a high-resolution image from a satellite and learn the mathematical structure and spectral properties of the signal received from a SAR system. Supported with over equations and over figures, the book arms you with state-of-the-art signal processing algorithms and helps you choose the best algorithm for a given SAR system and image quality requirements. You also learn how to estimate the Doppler centroid frequency and azimuth FM rate from a geometry model or from received data.

However much of the Lung cancer Detection in matlab Recently, image processing techniques are widely used in several medical areas for image improvement in earlier detection and treatment stages, where the time factor is very important to discover the abnormality issues in target images, especially in various cancer tumours such as lung cancer, breast cancer, etc. Image quality and accuracy is the core factors of The capabilities range from basic SAR processing and visualization, to interferometry and time series analysis.

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Hardware accelerated range Doppler algorithm for SAR data processing using Zynq processor

Synthetic aperture radar SAR imaging is the most computational intensive algorithm and this makes its implementation challenging for real-time application. Fast Fourier transform FFT and multiplication operations with complex data types are the major units requiring heavy computation. The heuristic analysis of the algorithm using timing analysis and resource usage is presented. Very few literatures have presented the FPGA-based SAR imaging implementation, where analysis of windowing technique was a major interest.

In the signal processing software testing for synthetic aperture radar SAR , the verification for algorithms is professional and has a very high proportion. However, existing methods can only perform a degree of validation for algorithms, exerting an adverse effect on the effectiveness of the software testing. This paper proposes a procedure-based approach for algorithm validation. Firstly, it describes the processing procedures of polar format algorithm PFA under the motion-error circumstance, based on which it analyzes the possible questions that may exist in the actual situation. By data simulation, the SAR echoes are generated flexibly and efficiently. Then, algorithm simulation is utilized to focus on the demonstrations for the approximations adopted in the algorithm. Combined with real data processing, the bugs concealed are excavated further, implementing a comprehensive validation for PFA.

Advanced Techniques for Radar Signal Processing

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