Near-THz CMOS camera for automotive applications
Abstract/Contents
- Abstract
- The near-THz band, which combines advantages from both radio and optical bands, is relatively less recognized primarily because of the absence of established commercial applications. In this project, we analyze the limitations of existing automotive sensors and conclude that near-THz sensor offers distinctive advantages for next-generation automotive applications. We propose a novel near-THz camera architecture for automotive sensing by leveraging the advancement of CMOS technology. The implementation details of the system are presented , especially the design of a plastic engraving lens and a CMOS imaging array. To validate the feasibility of the proposed system, we develop a prototype operating at 220 GHz. This prototype includes a code-modulated transmitter, a low-cost polyethylene Fresnel lens, and an integrated receiver array in 65 nm CMOS process. The measurement results of the prototype are presented, following a discussion of future work.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2023; ©2023 |
| Publication date | 2023; 2023 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Xu, Yinuo |
|---|---|
| Degree supervisor | Lee, Thomas H, 1959- |
| Thesis advisor | Lee, Thomas H, 1959- |
| Thesis advisor | Arbabian, Amin |
| Thesis advisor | Rivas-Davila, Juan |
| Degree committee member | Arbabian, Amin |
| Degree committee member | Rivas-Davila, Juan |
| Associated with | Stanford University, School of Engineering |
| Associated with | Stanford University, Department of Electrical Engineering |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Yinuo Xu. |
|---|---|
| Note | Submitted to the Department of Electrical Engineering. |
| Thesis | Thesis Ph.D. Stanford University 2023. |
| Location | https://purl.stanford.edu/qk100gj1134 |
Access conditions
- Copyright
- © 2023 by Yinuo Xu
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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