用于智能传感的毫米波雷达:技术、应用和挑战的综合综述

IF 4.9 3区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Yash Soni , Malhaar Goswami , Nishit Prabhakar Shetty , Dhiraj
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引用次数: 0

摘要

毫米波(mmWave)雷达传感已成为一项强大的技术,可用于汽车、医疗保健、安全和智能家居等各种应用。它在不同环境条件下有效工作的特殊能力,检测隐藏物体,感知生理信号,并促进精确的目标检测,使其成为下一代传感解决方案的关键推动者。该调查采用文献计量学分析来批判性地评估围绕毫米波雷达的现有文献,突出了关键的研究趋势、著名的出版物以及该领域面临的挑战。这项工作对基于毫米波雷达的传感进行了全面的研究,详细介绍了其基本工作原理、信号处理方法、硬件的进步以及机器学习应用的最新发展。它还解决了信号处理中的关键挑战,包括分辨率增强、环境适应性以及与激光雷达和摄像头等互补传感器的数据融合。此外,探讨了深度学习技术在增强目标分类、活动识别、手势识别和医疗保健应用方面的潜力,同时解决了与准确性和精度相关的问题。该调查还通过评估毫米波雷达技术的优势、局限性和前景,揭示了新兴趋势。本综述旨在为致力于推进基于雷达的传感及其在现实世界中的应用的研究人员和实践者提供有见地的指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Millimeter-wave radar for intelligent sensing: A comprehensive review of techniques, applications, and challenges
Millimeter-wave (mmWave) radar sensing has established itself as a robust technology across diverse applications, such as automotive, healthcare, security, and smart homes. Its exceptional capacity to function effectively in varying environmental conditions, detect concealed objects, sense physiological signals, and facilitate precise target detection positions it as a pivotal enabler for next-generation sensing solutions. The survey employs bibliometric analysis to critically evaluate the existing literature surrounding mmWave radar, highlighting key research trends, notable publications, and the challenges faced within the field. This work presents a comprehensive examination of mmWave radar-based sensing, detailing its fundamental operating principles, signal processing methodologies, advancements in hardware, and the latest developments in machine learning applications. It also addreses the key challenges in signal processing, including resolution enhancement, environmental adaptability, and data fusion with complementary sensors such as LiDAR and cameras. Furthermore, explored the potential of deep learning techniques to enhance target classification, activity recognition, gesture identification, and healthcare applications while addressing concerns related to accuracy and precision. This survey also sheds light on emerging trends by assessing the strengths, limitations, and prospects of mmWave radar technology. This review aims to provide insightful guidance for researchers and practitioners committed to advancing radar-based sensing and its real-world implementations.
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来源期刊
Computers & Electrical Engineering
Computers & Electrical Engineering 工程技术-工程:电子与电气
CiteScore
9.20
自引率
7.00%
发文量
661
审稿时长
47 days
期刊介绍: The impact of computers has nowhere been more revolutionary than in electrical engineering. The design, analysis, and operation of electrical and electronic systems are now dominated by computers, a transformation that has been motivated by the natural ease of interface between computers and electrical systems, and the promise of spectacular improvements in speed and efficiency. Published since 1973, Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and electronic systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like signal and image processing, high-performance computing, parallel processing, and communications. Special attention will be paid to papers describing innovative architectures, algorithms, and software tools.
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