{"title":"利用硅微机械分频天线研究亚太赫兹计算成像","authors":"Mohammad-Reza Seidi;Mohammad Mehrabi Gohari;Joachim Oberhammer","doi":"10.1109/TTHZ.2025.3575636","DOIUrl":null,"url":null,"abstract":"This article investigates sub-THz computational imaging using compact, wideband, cavity-backed frequency-diverse antennas fabricated through silicon micromachining techniques. This article presents a forward model based on pseudorandom frequency-diverse patterns using a Mills-Cross transmitter and receiver pair, which provides high-resolution imaging capabilities in the 220–330 GHz frequency range. The model is coupled with advanced compressed sensing algorithms, specifically compressive sampling matching pursuit (CoSaMP) and fast iterative shrinkage-thresholding algorithm (FISTA), to enhance imaging performance under limited data acquisition. Through emulated simulation and experimental data, it is demonstrated that the system's ability to achieve range resolutions down to 1.4 mm and angular resolutions of 0.35°, even in the presence of noise, and analyze the tradeoff between computational complexity and imaging accuracy. Sparsity investigations in spatial antenna population and frequency samples are comprehensively explored in this article. The results show that using only 6.7% of the data, the CoSaMP algorithm can reconstruct a discernable image of the “KTH” logo. Results show that CoSaMP provides lower reconstruction error for sparse target distributions, while FISTA achieves superior noise resilience. The study highlights the practical implications of using frequency-diverse antennas in security screening and industrial inspection, where high-resolution imaging at sub-THz frequencies is demanded.","PeriodicalId":13258,"journal":{"name":"IEEE Transactions on Terahertz Science and Technology","volume":"15 5","pages":"843-851"},"PeriodicalIF":3.9000,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11020717","citationCount":"0","resultStr":"{\"title\":\"Investigating Sub-THz Computational Imaging Using Silicon Micromachined Frequency-Diverse Antennas\",\"authors\":\"Mohammad-Reza Seidi;Mohammad Mehrabi Gohari;Joachim Oberhammer\",\"doi\":\"10.1109/TTHZ.2025.3575636\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article investigates sub-THz computational imaging using compact, wideband, cavity-backed frequency-diverse antennas fabricated through silicon micromachining techniques. This article presents a forward model based on pseudorandom frequency-diverse patterns using a Mills-Cross transmitter and receiver pair, which provides high-resolution imaging capabilities in the 220–330 GHz frequency range. The model is coupled with advanced compressed sensing algorithms, specifically compressive sampling matching pursuit (CoSaMP) and fast iterative shrinkage-thresholding algorithm (FISTA), to enhance imaging performance under limited data acquisition. Through emulated simulation and experimental data, it is demonstrated that the system's ability to achieve range resolutions down to 1.4 mm and angular resolutions of 0.35°, even in the presence of noise, and analyze the tradeoff between computational complexity and imaging accuracy. Sparsity investigations in spatial antenna population and frequency samples are comprehensively explored in this article. The results show that using only 6.7% of the data, the CoSaMP algorithm can reconstruct a discernable image of the “KTH” logo. Results show that CoSaMP provides lower reconstruction error for sparse target distributions, while FISTA achieves superior noise resilience. The study highlights the practical implications of using frequency-diverse antennas in security screening and industrial inspection, where high-resolution imaging at sub-THz frequencies is demanded.\",\"PeriodicalId\":13258,\"journal\":{\"name\":\"IEEE Transactions on Terahertz Science and Technology\",\"volume\":\"15 5\",\"pages\":\"843-851\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2025-06-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11020717\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Terahertz Science and Technology\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/11020717/\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Terahertz Science and Technology","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/11020717/","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Investigating Sub-THz Computational Imaging Using Silicon Micromachined Frequency-Diverse Antennas
This article investigates sub-THz computational imaging using compact, wideband, cavity-backed frequency-diverse antennas fabricated through silicon micromachining techniques. This article presents a forward model based on pseudorandom frequency-diverse patterns using a Mills-Cross transmitter and receiver pair, which provides high-resolution imaging capabilities in the 220–330 GHz frequency range. The model is coupled with advanced compressed sensing algorithms, specifically compressive sampling matching pursuit (CoSaMP) and fast iterative shrinkage-thresholding algorithm (FISTA), to enhance imaging performance under limited data acquisition. Through emulated simulation and experimental data, it is demonstrated that the system's ability to achieve range resolutions down to 1.4 mm and angular resolutions of 0.35°, even in the presence of noise, and analyze the tradeoff between computational complexity and imaging accuracy. Sparsity investigations in spatial antenna population and frequency samples are comprehensively explored in this article. The results show that using only 6.7% of the data, the CoSaMP algorithm can reconstruct a discernable image of the “KTH” logo. Results show that CoSaMP provides lower reconstruction error for sparse target distributions, while FISTA achieves superior noise resilience. The study highlights the practical implications of using frequency-diverse antennas in security screening and industrial inspection, where high-resolution imaging at sub-THz frequencies is demanded.
期刊介绍:
IEEE Transactions on Terahertz Science and Technology focuses on original research on Terahertz theory, techniques, and applications as they relate to components, devices, circuits, and systems involving the generation, transmission, and detection of Terahertz waves.