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ISSCC 2020Session 29 · EMERGING RF & THz TECHNIQUESRF & Wireless

A 0.42THz 9.2dBm 64-Pixel Source-Array SoC with Spatial Modulation Diversity for Computational Terahertz Imaging

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📋 论文概要

本文实现了一款0.42THz、9.2dBm的64像素源阵列SoC,采用空间调制多样性技术用于计算太赫兹成像。该芯片通过集成多像素源阵列和计算成像算法克服了传统太赫兹成像系统的信噪比限制,并实现了快速成像。

💡 主要创新点

重要性
发表年份
ISSCC 2020

🏷 关键词

太赫兹成像计算成像源阵列SoC空间调制

📄 原文摘要

Computational THz Imaging (CTI) is the process of indirectly forming images using algorithms that rely on a significant amount of computing. Unlike focalplane arrays (FPAs), a single-pixel camera (SPC) uses spatially patterned illumination in conjunction with CTI to measure the entire image using only one receiver [1]. CTI can overcome existing SNR limitations in THz imaging systems as it relaxes the implementation issues of high-power sources and low-noise FPAs (Fig. 29.1.1). However, measurements must be taken in series rather than all at once, which calls for fast THz system-on-a-chip (SoC) implementations in advanced silicon technologies. Past work on THz SPCs have relied on external metamaterial [1] or plasmonic [2] switches for spatial modulation, but their low modulation depth (< 60%) and rate (<20kHz) degrade the imaging speed and SNR. Silicon-based source arrays have shown coherent/incoherent power combining for coherent imaging [3], beamsteering [4], and diffused-illumination

👥 作者与机构

Ritesh Jain, Philipp Hillger, Janusz Grzyb, Ullrich R. Pfeiffer

University of Wuppertal, Wuppertal, Germany

分类:RF & Wireless · 年份:ISSCC 2020