SARrawSim: Synthetic Aperture Radar Raw Data Simulator

IF 2.4 4区 计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING SoftwareX Pub Date : 2025-02-01 Epub Date: 2024-12-19 DOI:10.1016/j.softx.2024.102019
Alfonso José Zozaya Sahad
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Abstract

This manuscript introduces a synthetic aperture radar (SAR) simulator and presents the application of the Range-Doppler Algorithm (RDA) to process the simulated SAR data. The simulator efficiently generates raw data by considering various radar parameters and point targets within a specified probing area. The RDA is used to perform range focusing, range cell migration correction (RCMC), and azimuth focusing on the raw data. The resulting SAR image is presented as an outcome of this process, providing valuable insights into SAR system design and algorithm validation.
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SARrawSim:合成孔径雷达原始数据模拟器
本文介绍了一种合成孔径雷达(SAR)模拟器,并介绍了距离-多普勒算法(RDA)对模拟SAR数据的处理。该模拟器在给定探测区域内考虑各种雷达参数和点目标,有效地生成原始数据。RDA用于对原始数据进行距离聚焦、距离单元迁移校正(RCMC)和方位聚焦。所得到的SAR图像是这一过程的结果,为SAR系统设计和算法验证提供了有价值的见解。
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来源期刊
SoftwareX
SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-
CiteScore
5.50
自引率
2.90%
发文量
184
审稿时长
9 weeks
期刊介绍: SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.
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