Pipelined Image Reconstruction of SAR Radar Based on Orthogonal Matching Pursuit using FPGA Implementation
Eslam Ashraf1, Ashraf A. M. Khalaf2, Sara M. Hassan3
1Eslam Ashraf*, Department of Electronics and Communications, Faculty of Engineering, Minia University, Minia, Egypt.
2Ashraf A. M. Khalaf, Department of Electronics and Communications, Faculty of Engineering, Minia University, Minia, Egypt.
3Sara M. Hassan, Department of Electronics and Communications, Faculty of Engineering, Modern Academy, Cairo, Egypt.
Manuscript received on January 02, 2020. | Revised Manuscript received on January 15, 2020. | Manuscript published on January 30, 2020. | PP: 2558-2564 | Volume-8 Issue-5, January 2020. | Retrieval Number: E6474018520/2020©BEIESP | DOI: 10.35940/ijrte.E6474.018520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Synthetic Aperture Radar (SAR) imaging methods is an interesting field in remote sensing. Nowadays, the Orthogonal Matching Pursuit Compressive Sensing (OMP) algorithm is applied on the reconstruction of data that are produced by SAR. The OMP is iterative algorithm that needs high time consumption and processing delay. This issue is considered one of the main problems that face the designers of the SAR systems that how to speed up the performance of the system to be more applicable. This paper provides an applicable pipelined processing technique for the OMP compressive sensing algorithm to speed up the compression and reconstruction of SAR Image Data. Based on the goal of this paper, it is possible to reduce the time processing of the OMP as every clock a new process will be started and it is not required to wait the certain process to be finished. The good-resolution images of the SAR are used for mapping, identification and other applications. This article defines the compressive sensing algorithms and it also discusses the design, analysis of the proposed pipelined processing method for one of the CS algorithms to reduce the consumed time using FPGA implementation. Moreover, the paper includes the implementation of the both normal processing and the proposed pipelined processing for the used algorithm. Finally, a comparison between the two algorithms is presented to evaluate the performance.
Keywords: SAR; Compression; Reconstruction; CS; Algorithm and Pipelined.
Scope of the Article: Parallel and Distributed Algorithms.