用于3D毫米波成像应用的廉价SAR测试平台

IF 1.4 4区 管理学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
S M Yahea Mahbub, Muhammad Dawood, Ehtesham Shareef
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引用次数: 0

摘要

本文研究开发了一种低成本合成孔径雷达(SAR)试验台,并将其用于捕获和重建高分辨率3D毫米波SAR图像。尽管工业和学术学者都非常关注,但成本限制和复杂性阻碍了SAR系统的部署,特别是在毫米波领域。本文概述了三维合成孔径雷达试验台的主要组成和系统。作者建立了一个低成本的测试平台,商用硬件组件,包括开源软件,高度可重构和简单复制。多输入多输出(MIMO)雷达传感器使用v波段(40-75 GHz)的调频连续波(FMCW)啁啾,并合成直线二维平面孔径。作者利用该试验台模拟真实场景,给出了几幅重建的三维图像。实现了一种非线性采样技术,大大减少了数据采集所需的时间。此外,作者采用了多个图像质量指标来量化和比较测试平台产生的图像。该试验台可用于测试和验证新技术和算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Inexpensive SAR testbed for 3D mmWave imaging applications

Inexpensive SAR testbed for 3D mmWave imaging applications

In this paper, the authors investigate and develop a low-cost synthetic aperture radar (SAR) testbed and utilise it to capture and reconstruct high-resolution 3D mmWave SAR images. Despite much attention from both industrial and academic scholars, cost restraints and complexity have hindered the deployment of SAR systems, particularly in the mmWave domain. This paper outlines the major components and systems of the 3D SAR testbed. The authors build a testbed with low-cost, commercially available hardware components and include open-source software that is highly reconfigurable and simple to reproduce. The multiple-input multiple-output (MIMO) radar sensor uses a frequency-modulated continuous wave (FMCW) chirp at the V-band (40–75 GHz) and synthesises a rectilinear two-dimensional planar aperture. The authors presented several reconstructed 3D images imitating real-world scenarios using the testbed. A non-linear sampling technique that has significantly decreased the amount of time required for data acquisition was implemented. In addition, the authors employed multiple image quality metrics to quantify and compare the images produced by the testbed. The testbed can be used to test and validate new techniques and algorithms.

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来源期刊
Iet Radar Sonar and Navigation
Iet Radar Sonar and Navigation 工程技术-电信学
CiteScore
4.10
自引率
11.80%
发文量
137
审稿时长
3.4 months
期刊介绍: IET Radar, Sonar & Navigation covers the theory and practice of systems and signals for radar, sonar, radiolocation, navigation, and surveillance purposes, in aerospace and terrestrial applications. Examples include advances in waveform design, clutter and detection, electronic warfare, adaptive array and superresolution methods, tracking algorithms, synthetic aperture, and target recognition techniques.
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