Fully integrated tunable wideband true time delay for wireless sensor networks

Carlos Mendes da Costa Junior, C. Wang, Kuangyuan Ying, Zhe Chen, Miguel Dhaens, Hao Gao, Peter Baltus

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)
3 Downloads (Pure)

Abstract

High Performance Wireless Sensor Networks (HP-WSN) for critical, low latency applications such as traffic control, industrial process control, smart structures and smart vehicles has been a fast-growing field. Nevertheless, efforts towards new systems and circuit architectures to enable real-time, predictable and reliable HP-WSN have been limited, specially for reliable, low latency wireless links. This paper presents for the first time, to authors' knowledge, a low power, wideband, large delay, tunable, compact, CMOS-scalable and frequency-independent true time delay cell that enables wideband beamforming on HP-WSN. This new architecture, inspired on bucket brigade devices and N-path structure, is especially well suitable for sub-3 GHz ISM bands, where most of WSN transceivers work. Post-layout simulations of a circuit demonstrator has shown a continuous time delay between 100 − 1000 ps with 0.5% delay variation over 0 − 3 GHz band. The layout area is only 0.025 mm2 and it consumes 10 − 19 mW, including buffers. It has also established a record of delay-per-area density of 40000 ps/mm2

Original languageEnglish
Title of host publication2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 - Proceedings
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Electronic)9781728103976
DOIs
Publication statusPublished - 1 May 2019
Event2019 IEEE International Symposium on Circuits and Systems (ISCAS 2019) - Sapporo, Japan
Duration: 26 May 201929 May 2019

Conference

Conference2019 IEEE International Symposium on Circuits and Systems (ISCAS 2019)
Country/TerritoryJapan
CitySapporo
Period26/05/1929/05/19

Funding

The authors would like to acknowledge the financial contribution of ECSEL JU under the project H2020 737469 AutoDrive.

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