An OFDMA Baseband Processor Enabling $165\mu \mathrm{W}$ Long-Range IoT Localization
We present an OFDMA baseband localization processor fabricated in 22nm, co-designed with a low-power, crystal-less narrowband RF receiver chip that efficiently estimates the channel frequency response in real-time for localization. The localization processor consumes 1.52/2.04mW for 2/3D localization processing, and duty-cycles the RF receiver achieving 247nW standby power. The combined system achieves a localization distance of 430m, a 4.3× improvement over state-of-the-art, while maintaining comparable accuracy. We deploy this system in a <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$1\times 2.8$</tex> cm IoT localization tag with <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$165\mu \mathrm{W}$</tex> average power at 0.1 Hz location acquisition rate.
Authors
- Dennis Sylvester (ORCID: https://orcid.org/0000-0003-2598-0458)
- Zichen Fan (ORCID: https://orcid.org/0000-0002-8181-2996)
- Hun-Seok Kim (ORCID: https://orcid.org/0000-0002-6658-5502)
- David Blaauw (ORCID: https://orcid.org/0000-0001-6744-7075)
- Chien-Wei Tseng (ORCID: https://orcid.org/0009-0007-4280-2676)
- Andrea Bejarano-Carbó (ORCID: https://orcid.org/0000-0002-7269-4545)
- Demba Komma (ORCID: https://orcid.org/0009-0008-9017-9441)
- Pierre Abillama (ORCID: https://orcid.org/0000-0001-9523-6152)
Institutions
- University of Michigan (US)
Publication Details
- Published
- 2025-06-08
- DOI
- https://doi.org/10.23919/vlsitechnologyandcir65189.2025.11075164
- Citations
- 1
- Primary Topic
- Wireless Body Area Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.67