Design of a 45 nm Complementary Metal Oxide Semiconductor Low Noise Amplifier for a 30 GHz Millimeter-Wave Wireless Transceiver in Radar Sensor Applications

IF 2.6 4区 计算机科学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Big Data Pub Date : 2023-08-03 DOI:10.1109/icABCD59051.2023.10220474
Shingirirai M. Chakoma, K. Ogudo
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Abstract

The millimeter-wave (mmWave) frequency band is rapidly becoming utilized in wireless technologies due to its large bandwidth and high data throughput. Wireless technology is increasingly becoming the backbone of the Internet of Things (IoT). This has resulted in increased applications of the radio frequency (RF) spectrum and congestion of the microwave band. This can be solved by utilizing more bandwidth at higher frequency bands. One notable application of IoT pertains to radar sensing, which has experienced increased popularity across various domains such as autonomous vehicles, gesture recognition, drones, and health monitoring. Radar sensors have been employed in these applications to perform tasks including proximity sensing, direction detection, speed measurement, target localization, and capturing physiological indicators such as heartbeat and breathing. Several factors have an impact on the performance of radar sensors, encompassing the maximum range for target detection, measurement precision, capability to differentiate between multiple targets, and ability to operate effectively in environments with high levels of noise. This paper presents the design of a 45 nm complementary metal-oxide-semiconductor (CMOS) low noise amplifier (LNA) for a mmWave Ka-band wireless transceiver for radar sensors. The LNA was designed to operate at 0.6V and 700 μA for low power consumption. The LNA consists of an inductive degenerated common source (CS) and a common gate (CG) diode-connected load. The LNA achieves a power gain of 31.19 dB and a noise figure (NF) of 0.133 dB at 30 GHz consuming 0.42 mW of power.
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用于雷达传感器中30ghz毫米波无线收发器的45 nm互补金属氧化物半导体低噪声放大器的设计
毫米波(mmWave)频段由于其大带宽和高数据吞吐量而迅速应用于无线技术。无线技术正日益成为物联网(IoT)的支柱。这导致了射频(RF)频谱的应用增加和微波频段的拥塞。这可以通过在更高的频带上利用更多的带宽来解决。物联网的一个值得注意的应用是雷达传感,它在自动驾驶汽车、手势识别、无人机和健康监测等各个领域越来越受欢迎。雷达传感器已在这些应用中用于执行任务,包括接近感测、方向检测、速度测量、目标定位以及捕获心跳和呼吸等生理指标。有几个因素会影响雷达传感器的性能,包括目标探测的最大距离、测量精度、区分多个目标的能力,以及在高噪声环境中有效操作的能力。本文设计了一种45 nm互补金属氧化物半导体(CMOS)低噪声放大器(LNA),用于雷达传感器的毫米波ka波段无线收发器。LNA的工作电压为0.6V,电压为700 μA,功耗低。LNA由一个电感退化共源(CS)和一个共门(CG)二极管连接负载组成。该LNA在30 GHz时的功率增益为31.19 dB,噪声系数(NF)为0.133 dB,功耗为0.42 mW。
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来源期刊
Big Data
Big Data COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-COMPUTER SCIENCE, THEORY & METHODS
CiteScore
9.10
自引率
2.20%
发文量
60
期刊介绍: Big Data is the leading peer-reviewed journal covering the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data. The Journal addresses questions surrounding this powerful and growing field of data science and facilitates the efforts of researchers, business managers, analysts, developers, data scientists, physicists, statisticians, infrastructure developers, academics, and policymakers to improve operations, profitability, and communications within their businesses and institutions. Spanning a broad array of disciplines focusing on novel big data technologies, policies, and innovations, the Journal brings together the community to address current challenges and enforce effective efforts to organize, store, disseminate, protect, manipulate, and, most importantly, find the most effective strategies to make this incredible amount of information work to benefit society, industry, academia, and government. Big Data coverage includes: Big data industry standards, New technologies being developed specifically for big data, Data acquisition, cleaning, distribution, and best practices, Data protection, privacy, and policy, Business interests from research to product, The changing role of business intelligence, Visualization and design principles of big data infrastructures, Physical interfaces and robotics, Social networking advantages for Facebook, Twitter, Amazon, Google, etc, Opportunities around big data and how companies can harness it to their advantage.
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