Sensitivity analysis of Wiener filter-based synthetic aperture radar (SAR) microwave imaging technique

2014 ◽  
Author(s):  
M. Fallahpour ◽  
R. Zoughi
Keyword(s):  
Sensitivity Analysis ◽  
Synthetic Aperture Radar ◽  
Imaging Technique ◽  
Wiener Filter ◽  
Microwave Imaging ◽  
Synthetic Aperture ◽  
Aperture Radar

scholarly journals A Synthetic Aperture Radar (SAR)-Based Technique for Microwave Imaging and Material Characterization

Electronics ◽  
2018 ◽  
Vol 7 (12) ◽  
pp. 373 ◽  
Author(s):  
Yuri Álvarez López ◽  
María García Fernández ◽  
Raphael Grau ◽  
Fernando Las-Heras
Keyword(s):  
Synthetic Aperture Radar ◽  
Material Characterization ◽  
A Priori ◽  
Microwave Imaging ◽  
Synthetic Aperture ◽  
Sar Image ◽  
A Priori Information ◽  
Priori Information ◽  
Constitutive Parameters ◽  
Aperture Radar

This contribution presents a simple and fast Synthetic Aperture Radar (SAR)-based technique for microwave imaging and material characterization from microwave measurements acquired in tomographic systems. SAR backpropagation is one of the simplest and fastest techniques for microwave imaging. However, in the case of heterogeneous objects and media, a priori information about the constitutive parameters (conductivity, permittivity) is needed for an accurate imaging. In some cases, a first guess of the constitutive parameters can be extracted from an uncorrected SAR image, and then the estimated parameters can be introduced in a second step to correct the SAR image. The main advantage of this methodology is that there is little or no need for a priori information about the object to be imaged. Besides, calculation time is not significantly increased with respect to conventional SAR, thus allowing real-time imaging capabilities. The methodology has been validated by means of measurements acquired in a cylindrical setup.

scholarly journals Microwave Imaging From Sparse Measurements for Near-Field Synthetic Aperture Radar

2017 ◽  
Vol 66 (10) ◽  
pp. 2680-2692 ◽  
Author(s):  
Xiahan Yang ◽  
Yahong R. Zheng ◽  
Mohammad Tayeb Ghasr ◽  
Kristen M. Donnell
Keyword(s):  
Synthetic Aperture Radar ◽  
Near Field ◽  
Microwave Imaging ◽  
Synthetic Aperture ◽  
Sparse Measurements ◽  
Aperture Radar

Analysis of Synthetic Aperture Radar Imaging and Signal Processing

2012 ◽  
Vol 433-440 ◽  
pp. 2004-2010
Author(s):  
Su Yi Mon Su ◽  
Jian Cheng Fang
Keyword(s):  
Signal Processing ◽  
Synthetic Aperture Radar ◽  
Imaging Technique ◽  
Digital Signal ◽  
Synthetic Aperture ◽  
Simulation Test ◽  
Radar Systems ◽  
Imaging Simulation ◽  
Simulation Parameters ◽  
Aperture Radar

Digital signal processing is used to focus the image and obtain a higher resolution than achieved by conventional radar systems. This paper presents details of Synthetic Aperture Radar (SAR) signal processing and imaging technique with the goal of generating images. A Matlab based program is developed and coded for imaging simulation. It facilitates processing data and producing desired output. Then, we investigate the characteristics of Linear Frequency Modulated (LFM) signal prior to getting image results. The SAR properties in range and azimuth directions are described. The received signal and SAR raw data is theoretically described. In addition, the target reflection signal processing is also well presented. The SAR image formation is described using Range Doppler Algorithm (RDA). Finally, simulation parameters are computed and imaging simulation test is finished.

scholarly journals Phaseless Radar Coincidence Imaging with a MIMO SAR Platform

2019 ◽  
Vol 11 (5) ◽  
pp. 533 ◽  
Author(s):  
Aaron Diebold ◽  
Mohammadreza Imani ◽  
David Smith
Keyword(s):  
Synthetic Aperture Radar ◽  
Imaging Technique ◽  
Multiple Input Multiple Output ◽  
Synthetic Aperture ◽  
Ghost Imaging ◽  
Microwave Frequencies ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Coincidence Imaging ◽  
Aperture Radar

The correlation-based synthetic aperture radar imaging technique, termed radar coincidence imaging, is extended to a fully multistatic multiple-input multiple-output (MIMO) synthetic aperture radar (SAR) configuration. Within this framework, we explore two distinct processing schemes: incoherent processing of intensity data, obtained using asynchronous receivers and inspired by optical ghost imaging works, and coherent processing with synchronized array elements. Improvement in resolution and image quality is demonstrated in both cases using numerical simulations that model an airborne MIMO SAR system at microwave frequencies. Finally, we explore methods for reducing measurement times and computational loads through compressive and gradient image reconstruction using phaseless data.

Sign in / Sign up

Export Citation Format

Share Document