ruvnet / ruvnet/RuView

Possible collaboration on WiFi sensing

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Description

Hi @ruvnet,

Thanks for your great work on RuView. I have been following the project and found it very interesting.

I am also working on WiFi sensing / ISAC. One issue we have been looking at is how ESP32 AGC and transceiver clock asynchrony affect CSI measurements. From our experiments, these impacts can introduce random phase and amplitude changes of CSI, which may mask the actual human motion we want to sense. This makes precise sensing quite challenging unless they are handled carefully.

Here is one of our related demos: https://www.youtube.com/watch?v=SdnUunW9ueA&t=183s

We have also open-sourced part of the work here: https://github.com/Zhongqin-Wang/Towards-SISO-Bistatic-Sensing-for-ISAC

There are a few other WiFi sensing demos on our channel as well, including single-target tracking, multi-target tracking, breathing / heart-rate estimation, and gesture recognition: https://www.youtube.com/@ZhongqinWang

I would be happy to exchange ideas on ESP32 CSI calibration, AGC and clock asynchrony removal, and robust WiFi sensing if you are interested. Thanks again for the work.

Contributor guide

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

No project files, tests, or entry points are identified. Start by reviewing the referenced WiFi sensing demo and open-source repository, then clarify the specific ESP32 CSI calibration, AGC, or clock-asynchrony work intended for RuView and define measurable acceptance criteria.

Written by the indexing model from the issue text.

Assessment

Domain
embedded-iot, networking
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
20/100

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