基于二维实验合成孔径雷达原始数据的海况表征及改进的分形特征方法

IF 0.9 4区工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC

Elektronika Ir Elektrotechnika Pub Date : 2022-12-21 DOI:10.5755/j02.eie.31502

Apostolos Kotopoulis, B. Massinas, Georgios Pouraimis, P. Frangos

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引用次数: 0

摘要

本文提出了一种利用合成孔径雷达(SAR)原始实验数据在“快时间”和“慢时间”两个方向上(如文中所述)表征海况的新方法，即所谓的“修正分形特征”(MFS)方法。也就是说，上述两个维度的实验SAR雷达特征(即时域的“原始数据”)由挪威国防研究所(FFI研究所)提供给我们的研究小组，我们使用MFS方法以一种新颖的方式对其进行处理和分析，如本文详细介绍的那样。这里得到的数值结果表明，海面很容易被划分为“平静海”或“湍流海”，从而建立了一种非常有前途的实时海况表征技术，如文中详细描述的那样。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Sea State Characterization Using Experimental Synthetic Aperture Radar Raw Data in Two-Dimensions and the Modified Fractal Signature Method

This paper presents a novel method for the characterization of the sea state using a set of raw experimental Synthetic Aperture Radar (SAR) data in two dimensions, i.e., in the “fast time” and “slow time” directions (as explained in the text) and the so-called “Modified Fractal Signature” (MFS) method. That is, experimental SAR radar signatures in the above two dimensions (i.e., “raw data” in the time domain) were provided to our research group by the Norwegian Institute of Defence (FFI Institute), Norway, which we processed and analyzed using the MFS method in a novel way, as presented in detail in this paper. The numerical results obtained here show an easy categorization of the sea surface as “calm sea” or “turbulent sea”, thus establishing a very promising technique for the characterization of sea state in real time, as described in detail in the text.

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来源期刊

Elektronika Ir Elektrotechnika 工程技术-工程：电子与电气

CiteScore

2.40

自引率

7.70%

发文量

审稿时长

24 months

期刊介绍： The journal aims to attract original research papers on featuring practical developments in the field of electronics and electrical engineering. The journal seeks to publish research progress in the field of electronics and electrical engineering with an emphasis on the applied rather than the theoretical in as much detail as possible. The journal publishes regular papers dealing with the following areas, but not limited to: Electronics; Electronic Measurements; Signal Technology; Microelectronics; High Frequency Technology, Microwaves. Electrical Engineering; Renewable Energy; Automation, Robotics; Telecommunications Engineering.