Add basic preprocessing and visualisation
This commit is contained in:
Christos Falas
commit
841da23c47
176
.gitignore
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176
.gitignore
vendored
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# Created by https://www.toptal.com/developers/gitignore/api/python
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# Edit at https://www.toptal.com/developers/gitignore?templates=python
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### Python ###
|
||||
# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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|
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# C extensions
|
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*.so
|
||||
|
||||
# Distribution / packaging
|
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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|
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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||||
*.manifest
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||||
*.spec
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||||
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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cover/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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|
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# Scrapy stuff:
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.scrapy
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|
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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.pybuilder/
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# poetry
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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#poetry.lock
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# pdm
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# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
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#pdm.lock
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# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
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# in version control.
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# https://pdm.fming.dev/#use-with-ide
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.pdm.toml
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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||||
|
||||
# SageMath parsed files
|
||||
*.sage.py
|
||||
|
||||
# Environments
|
||||
.env
|
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.venv
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||||
env/
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venv/
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||||
ENV/
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env.bak/
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||||
venv.bak/
|
||||
|
||||
# Spyder project settings
|
||||
.spyderproject
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.spyproject
|
||||
|
||||
# Rope project settings
|
||||
.ropeproject
|
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|
||||
# mkdocs documentation
|
||||
/site
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||||
|
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# mypy
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||||
.mypy_cache/
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.dmypy.json
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dmypy.json
|
||||
|
||||
# Pyre type checker
|
||||
.pyre/
|
||||
|
||||
# pytype static type analyzer
|
||||
.pytype/
|
||||
|
||||
# Cython debug symbols
|
||||
cython_debug/
|
||||
|
||||
# PyCharm
|
||||
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
|
||||
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
|
||||
# and can be added to the global gitignore or merged into this file. For a more nuclear
|
||||
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/
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||||
|
||||
### Python Patch ###
|
||||
# Poetry local configuration file - https://python-poetry.org/docs/configuration/#local-configuration
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||||
poetry.toml
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|
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# ruff
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.ruff_cache/
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||||
|
||||
# LSP config files
|
||||
pyrightconfig.json
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||||
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# End of https://www.toptal.com/developers/gitignore/api/python
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14
Pipfile
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14
Pipfile
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[[source]]
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url = "https://pypi.org/simple"
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verify_ssl = true
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name = "pypi"
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[packages]
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flask = "*"
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numpy = "*"
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flask-sock = "*"
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[dev-packages]
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[requires]
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python_version = "3.12"
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232
Pipfile.lock
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232
Pipfile.lock
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{
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"_meta": {
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"hash": {
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"sha256": "7a239bffead5df2e0a422f7b84d0ee970f85f9d94ab29b1d56d004f67144422c"
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},
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"pipfile-spec": 6,
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"requires": {
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"python_version": "3.12"
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},
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"sources": [
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{
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"name": "pypi",
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"url": "https://pypi.org/simple",
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"verify_ssl": true
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}
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]
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},
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"default": {
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"blinker": {
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"hashes": [
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"sha256:b4ce2265a7abece45e7cc896e98dbebe6cead56bcf805a3d23136d145f5445bf",
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"sha256:ba0efaa9080b619ff2f3459d1d500c57bddea4a6b424b60a91141db6fd2f08bc"
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],
|
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"markers": "python_version >= '3.9'",
|
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"version": "==1.9.0"
|
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},
|
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"click": {
|
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"hashes": [
|
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"sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28",
|
||||
"sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de"
|
||||
],
|
||||
"markers": "python_version >= '3.7'",
|
||||
"version": "==8.1.7"
|
||||
},
|
||||
"flask": {
|
||||
"hashes": [
|
||||
"sha256:5f873c5184c897c8d9d1b05df1e3d01b14910ce69607a117bd3277098a5836ac",
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"sha256:d667207822eb83f1c4b50949b1623c8fc8d51f2341d65f72e1a1815397551136"
|
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],
|
||||
"index": "pypi",
|
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"markers": "python_version >= '3.9'",
|
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"version": "==3.1.0"
|
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},
|
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"flask-sock": {
|
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"hashes": [
|
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"sha256:caac4d679392aaf010d02fabcf73d52019f5bdaf1c9c131ec5a428cb3491204a",
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],
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"index": "pypi",
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"markers": "python_version >= '3.6'",
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"version": "==0.7.0"
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},
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"h11": {
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"hashes": [
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],
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"markers": "python_version >= '3.7'",
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"version": "==0.14.0"
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},
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"itsdangerous": {
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"hashes": [
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],
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"markers": "python_version >= '3.8'",
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"version": "==2.2.0"
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},
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"jinja2": {
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],
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"markers": "python_version >= '3.7'",
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||||
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|
||||
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"markupsafe": {
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||||
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||||
],
|
||||
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|
||||
"version": "==3.0.2"
|
||||
},
|
||||
"numpy": {
|
||||
"hashes": [
|
||||
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|
||||
"sha256:14e253bd43fc6b37af4921b10f6add6925878a42a0c5fe83daee390bca80bc17",
|
||||
"sha256:15cb89f39fa6d0bdfb600ea24b250e5f1a3df23f901f51c8debaa6a5d122b2f0",
|
||||
"sha256:17ee83a1f4fef3c94d16dc1802b998668b5419362c8a4f4e8a491de1b41cc3ee",
|
||||
"sha256:2312b2aa89e1f43ecea6da6ea9a810d06aae08321609d8dc0d0eda6d946a541b",
|
||||
"sha256:2564fbdf2b99b3f815f2107c1bbc93e2de8ee655a69c261363a1172a79a257d4",
|
||||
"sha256:3522b0dfe983a575e6a9ab3a4a4dfe156c3e428468ff08ce582b9bb6bd1d71d4",
|
||||
"sha256:4394bc0dbd074b7f9b52024832d16e019decebf86caf909d94f6b3f77a8ee3b6",
|
||||
"sha256:45966d859916ad02b779706bb43b954281db43e185015df6eb3323120188f9e4",
|
||||
"sha256:4d1167c53b93f1f5d8a139a742b3c6f4d429b54e74e6b57d0eff40045187b15d",
|
||||
"sha256:4f2015dfe437dfebbfce7c85c7b53d81ba49e71ba7eadbf1df40c915af75979f",
|
||||
"sha256:50ca6aba6e163363f132b5c101ba078b8cbd3fa92c7865fd7d4d62d9779ac29f",
|
||||
"sha256:50d18c4358a0a8a53f12a8ba9d772ab2d460321e6a93d6064fc22443d189853f",
|
||||
"sha256:5641516794ca9e5f8a4d17bb45446998c6554704d888f86df9b200e66bdcce56",
|
||||
"sha256:576a1c1d25e9e02ed7fa5477f30a127fe56debd53b8d2c89d5578f9857d03ca9",
|
||||
"sha256:6a4825252fcc430a182ac4dee5a505053d262c807f8a924603d411f6718b88fd",
|
||||
"sha256:72dcc4a35a8515d83e76b58fdf8113a5c969ccd505c8a946759b24e3182d1f23",
|
||||
"sha256:747641635d3d44bcb380d950679462fae44f54b131be347d5ec2bce47d3df9ed",
|
||||
"sha256:762479be47a4863e261a840e8e01608d124ee1361e48b96916f38b119cfda04a",
|
||||
"sha256:78574ac2d1a4a02421f25da9559850d59457bac82f2b8d7a44fe83a64f770098",
|
||||
"sha256:825656d0743699c529c5943554d223c021ff0494ff1442152ce887ef4f7561a1",
|
||||
"sha256:8637dcd2caa676e475503d1f8fdb327bc495554e10838019651b76d17b98e512",
|
||||
"sha256:96fe52fcdb9345b7cd82ecd34547fca4321f7656d500eca497eb7ea5a926692f",
|
||||
"sha256:973faafebaae4c0aaa1a1ca1ce02434554d67e628b8d805e61f874b84e136b09",
|
||||
"sha256:996bb9399059c5b82f76b53ff8bb686069c05acc94656bb259b1d63d04a9506f",
|
||||
"sha256:a38c19106902bb19351b83802531fea19dee18e5b37b36454f27f11ff956f7fc",
|
||||
"sha256:a6b46587b14b888e95e4a24d7b13ae91fa22386c199ee7b418f449032b2fa3b8",
|
||||
"sha256:a9f7f672a3388133335589cfca93ed468509cb7b93ba3105fce780d04a6576a0",
|
||||
"sha256:aa08e04e08aaf974d4458def539dece0d28146d866a39da5639596f4921fd761",
|
||||
"sha256:b0df3635b9c8ef48bd3be5f862cf71b0a4716fa0e702155c45067c6b711ddcef",
|
||||
"sha256:b47fbb433d3260adcd51eb54f92a2ffbc90a4595f8970ee00e064c644ac788f5",
|
||||
"sha256:baed7e8d7481bfe0874b566850cb0b85243e982388b7b23348c6db2ee2b2ae8e",
|
||||
"sha256:bc6f24b3d1ecc1eebfbf5d6051faa49af40b03be1aaa781ebdadcbc090b4539b",
|
||||
"sha256:c006b607a865b07cd981ccb218a04fc86b600411d83d6fc261357f1c0966755d",
|
||||
"sha256:c181ba05ce8299c7aa3125c27b9c2167bca4a4445b7ce73d5febc411ca692e43",
|
||||
"sha256:c7662f0e3673fe4e832fe07b65c50342ea27d989f92c80355658c7f888fcc83c",
|
||||
"sha256:c80e4a09b3d95b4e1cac08643f1152fa71a0a821a2d4277334c88d54b2219a41",
|
||||
"sha256:c894b4305373b9c5576d7a12b473702afdf48ce5369c074ba304cc5ad8730dff",
|
||||
"sha256:d7aac50327da5d208db2eec22eb11e491e3fe13d22653dce51b0f4109101b408",
|
||||
"sha256:d89dd2b6da69c4fff5e39c28a382199ddedc3a5be5390115608345dec660b9e2",
|
||||
"sha256:d9beb777a78c331580705326d2367488d5bc473b49a9bc3036c154832520aca9",
|
||||
"sha256:dc258a761a16daa791081d026f0ed4399b582712e6fc887a95af09df10c5ca57",
|
||||
"sha256:e14e26956e6f1696070788252dcdff11b4aca4c3e8bd166e0df1bb8f315a67cb",
|
||||
"sha256:e6988e90fcf617da2b5c78902fe8e668361b43b4fe26dbf2d7b0f8034d4cafb9",
|
||||
"sha256:e711e02f49e176a01d0349d82cb5f05ba4db7d5e7e0defd026328e5cfb3226d3",
|
||||
"sha256:ea4dedd6e394a9c180b33c2c872b92f7ce0f8e7ad93e9585312b0c5a04777a4a",
|
||||
"sha256:ecc76a9ba2911d8d37ac01de72834d8849e55473457558e12995f4cd53e778e0",
|
||||
"sha256:f55ba01150f52b1027829b50d70ef1dafd9821ea82905b63936668403c3b471e",
|
||||
"sha256:f653490b33e9c3a4c1c01d41bc2aef08f9475af51146e4a7710c450cf9761598",
|
||||
"sha256:fa2d1337dc61c8dc417fbccf20f6d1e139896a30721b7f1e832b2bb6ef4eb6c4"
|
||||
],
|
||||
"index": "pypi",
|
||||
"markers": "python_version >= '3.10'",
|
||||
"version": "==2.1.3"
|
||||
},
|
||||
"simple-websocket": {
|
||||
"hashes": [
|
||||
"sha256:4af6069630a38ed6c561010f0e11a5bc0d4ca569b36306eb257cd9a192497c8c",
|
||||
"sha256:7939234e7aa067c534abdab3a9ed933ec9ce4691b0713c78acb195560aa52ae4"
|
||||
],
|
||||
"markers": "python_version >= '3.6'",
|
||||
"version": "==1.1.0"
|
||||
},
|
||||
"werkzeug": {
|
||||
"hashes": [
|
||||
"sha256:54b78bf3716d19a65be4fceccc0d1d7b89e608834989dfae50ea87564639213e",
|
||||
"sha256:60723ce945c19328679790e3282cc758aa4a6040e4bb330f53d30fa546d44746"
|
||||
],
|
||||
"markers": "python_version >= '3.9'",
|
||||
"version": "==3.1.3"
|
||||
},
|
||||
"wsproto": {
|
||||
"hashes": [
|
||||
"sha256:ad565f26ecb92588a3e43bc3d96164de84cd9902482b130d0ddbaa9664a85065",
|
||||
"sha256:b9acddd652b585d75b20477888c56642fdade28bdfd3579aa24a4d2c037dd736"
|
||||
],
|
||||
"markers": "python_full_version >= '3.7.0'",
|
||||
"version": "==1.2.0"
|
||||
}
|
||||
},
|
||||
"develop": {}
|
||||
}
|
||||
119
src/csi.py
Normal file
119
src/csi.py
Normal file
@ -0,0 +1,119 @@
|
||||
import struct
|
||||
import numpy as np
|
||||
|
||||
|
||||
RATE_MCS_MOD_TYPE_POS = 8
|
||||
RATE_MCS_MOD_TYPE_MSK = 0x7 << RATE_MCS_MOD_TYPE_POS
|
||||
RATE_MCS_CCK_MSK = 0 << RATE_MCS_MOD_TYPE_POS
|
||||
RATE_MCS_LEGACY_OFDM_MSK = 1 << RATE_MCS_MOD_TYPE_POS
|
||||
RATE_MCS_HT_MSK = 2 << RATE_MCS_MOD_TYPE_POS
|
||||
RATE_MCS_VHT_MSK = 3 << RATE_MCS_MOD_TYPE_POS
|
||||
RATE_MCS_HE_MSK = 4 << RATE_MCS_MOD_TYPE_POS
|
||||
RATE_MCS_EHT_MSK = 5 << RATE_MCS_MOD_TYPE_POS
|
||||
RATE_MCS_CHAN_WIDTH_POS = 11
|
||||
RATE_MCS_CHAN_WIDTH_MSK = 0x7 << RATE_MCS_CHAN_WIDTH_POS
|
||||
RATE_MCS_CHAN_WIDTH_20_VAL = 0
|
||||
RATE_MCS_CHAN_WIDTH_20 = RATE_MCS_CHAN_WIDTH_20_VAL << RATE_MCS_CHAN_WIDTH_POS
|
||||
RATE_MCS_CHAN_WIDTH_40_VAL = 1
|
||||
RATE_MCS_CHAN_WIDTH_40 = RATE_MCS_CHAN_WIDTH_40_VAL << RATE_MCS_CHAN_WIDTH_POS
|
||||
RATE_MCS_CHAN_WIDTH_80_VAL = 2
|
||||
RATE_MCS_CHAN_WIDTH_80 = RATE_MCS_CHAN_WIDTH_80_VAL << RATE_MCS_CHAN_WIDTH_POS
|
||||
RATE_MCS_CHAN_WIDTH_160_VAL = 3
|
||||
RATE_MCS_CHAN_WIDTH_160 = RATE_MCS_CHAN_WIDTH_160_VAL << RATE_MCS_CHAN_WIDTH_POS
|
||||
RATE_MCS_CHAN_WIDTH_320_VAL = 4
|
||||
RATE_MCS_CHAN_WIDTH_320 = RATE_MCS_CHAN_WIDTH_320_VAL << RATE_MCS_CHAN_WIDTH_POS
|
||||
RATE_HT_MCS_CODE_MSK = 7
|
||||
RATE_MCS_ANT_A_POS = 14
|
||||
RATE_MCS_ANT_A_MSK = 1 << RATE_MCS_ANT_A_POS
|
||||
RATE_MCS_ANT_B_POS = 15
|
||||
RATE_MCS_ANT_B_MSK = 1 << RATE_MCS_ANT_B_POS
|
||||
RATE_MCS_LDPC_POS = 16
|
||||
RATE_MCS_LDPC_MSK = 1 << RATE_MCS_LDPC_POS
|
||||
RATE_MCS_SS_POS = 16
|
||||
RATE_MCS_SS_MSK = 1 << RATE_MCS_SS_POS
|
||||
RATE_MCS_BEAMF_POS = 16
|
||||
RATE_MCS_BEAMF_MSK = 1 << RATE_MCS_BEAMF_POS
|
||||
|
||||
|
||||
class CSIHeader:
|
||||
def __init__(self, data: bytes):
|
||||
self.csi_size = struct.unpack("I", data[0:4])[0]
|
||||
self.ftm_clock = struct.unpack("I", data[8:12])[0]
|
||||
self.num_rx = data[46]
|
||||
self.num_tx = data[47]
|
||||
self.num_subcarriers = struct.unpack("I", data[52:56])[0]
|
||||
self.rssi1 = struct.unpack("I", data[60:64])[0]
|
||||
self.rssi2 = struct.unpack("I", data[64:68])[0]
|
||||
self.source_mac = struct.unpack("BBBBBB", data[68:74])
|
||||
self.source_mac_string = "%02x:%02x:%02x:%02x:%02x:%02x" % struct.unpack(
|
||||
"BBBBBB", data[68:74]
|
||||
)
|
||||
self.rate_flags = struct.unpack("I", data[92:96])[0]
|
||||
|
||||
rate_format = self.rate_flags & RATE_MCS_MOD_TYPE_MSK
|
||||
if rate_format == RATE_MCS_CCK_MSK:
|
||||
rate_format = "CCK"
|
||||
elif rate_format == RATE_MCS_LEGACY_OFDM_MSK:
|
||||
rate_format = "LEGACY_OFDM"
|
||||
elif rate_format == RATE_MCS_VHT_MSK:
|
||||
rate_format = "VHT"
|
||||
elif rate_format == RATE_MCS_HT_MSK:
|
||||
rate_format = "HT"
|
||||
elif rate_format == RATE_MCS_HE_MSK:
|
||||
rate_format = "HE"
|
||||
elif rate_format == RATE_MCS_EHT_MSK:
|
||||
rate_format = "EHT"
|
||||
else:
|
||||
rate_format = "unknown"
|
||||
self.rate_format = rate_format
|
||||
|
||||
channel_width = self.rate_flags & RATE_MCS_CHAN_WIDTH_MSK
|
||||
if channel_width == RATE_MCS_CHAN_WIDTH_20:
|
||||
channel_width = "20"
|
||||
elif channel_width == RATE_MCS_CHAN_WIDTH_40:
|
||||
channel_width = "40"
|
||||
elif channel_width == RATE_MCS_CHAN_WIDTH_80:
|
||||
channel_width = "80"
|
||||
elif channel_width == RATE_MCS_CHAN_WIDTH_160:
|
||||
channel_width = "160"
|
||||
elif channel_width == RATE_MCS_CHAN_WIDTH_320:
|
||||
channel_width = "320"
|
||||
else:
|
||||
channel_width = "unknown"
|
||||
self.channel_width = channel_width
|
||||
|
||||
self.mcs = self.rate_flags & RATE_HT_MCS_CODE_MSK
|
||||
self.antenna_a = True if self.rate_flags & RATE_MCS_ANT_A_MSK else False
|
||||
self.antenna_b = True if self.rate_flags & RATE_MCS_ANT_B_MSK else False
|
||||
self.ldpc = True if self.rate_flags & RATE_MCS_LDPC_MSK else False
|
||||
self.ss = 2 if self.rate_flags & RATE_MCS_SS_MSK else 1
|
||||
self.beamforming = True if self.rate_flags & RATE_MCS_BEAMF_MSK else False
|
||||
|
||||
|
||||
class CSI:
|
||||
@staticmethod
|
||||
def parseCsiData(data: bytes, header: CSIHeader):
|
||||
csi_matrix = np.zeros(
|
||||
(
|
||||
header.num_subcarriers,
|
||||
header.num_rx,
|
||||
header.num_tx,
|
||||
),
|
||||
dtype=complex,
|
||||
)
|
||||
pos = 0
|
||||
for j in range(header.num_rx):
|
||||
for k in range(header.num_tx):
|
||||
for n in range(header.num_subcarriers):
|
||||
real = struct.unpack("h", data[pos : pos + 2])[0]
|
||||
imag = struct.unpack("h", data[pos + 2 : pos + 4])[0]
|
||||
pos += 4
|
||||
csi_matrix[n, j, k] = complex(real, imag)
|
||||
|
||||
return csi_matrix
|
||||
|
||||
def __init__(self, data: bytes):
|
||||
self.header = CSIHeader(data[:272])
|
||||
self.matrix = self.parseCsiData(
|
||||
data[272 : 272 + self.header.csi_size], self.header
|
||||
)
|
||||
59
src/main.py
Normal file
59
src/main.py
Normal file
@ -0,0 +1,59 @@
|
||||
import logging
|
||||
import socket
|
||||
from csi import CSI
|
||||
from preprocess import Preprocessor
|
||||
import visualise
|
||||
import threading
|
||||
import struct
|
||||
|
||||
logging.basicConfig(
|
||||
level=logging.INFO,
|
||||
format="%(asctime)s %(levelname)-8s %(message)s",
|
||||
)
|
||||
|
||||
|
||||
class FeitServer:
|
||||
def __init__(
|
||||
self,
|
||||
ip: str,
|
||||
frequency: int = 5260,
|
||||
channel_width: int = 80,
|
||||
frame_format: str = "VHT",
|
||||
):
|
||||
self.ip = ip
|
||||
self.port = 8008
|
||||
self.server = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
|
||||
self.server.connect((self.ip, self.port))
|
||||
self.start_string = (
|
||||
f"feitcsi --frequency {frequency} "
|
||||
f"--channel-width {channel_width} --format {frame_format} "
|
||||
f"--mode measure"
|
||||
)
|
||||
self.server.send(b"stop\n")
|
||||
self.server.send(self.start_string.encode())
|
||||
|
||||
def listen(self, callback):
|
||||
while True:
|
||||
data = self.server.recv(65535)
|
||||
try:
|
||||
csidata = CSI(data)
|
||||
callback(csidata)
|
||||
except struct.error:
|
||||
logging.error("Failed to parse CSI data")
|
||||
|
||||
|
||||
def process_data(data):
|
||||
logging.debug("Got CSI frame")
|
||||
processed = preprocess.preprocess(data)
|
||||
visualise.add_data(processed)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
server = FeitServer("10.0.12.62")
|
||||
preprocess = Preprocessor()
|
||||
|
||||
# Start webapp in background thread
|
||||
webapp = threading.Thread(target=visualise.start)
|
||||
webapp.start()
|
||||
|
||||
server.listen(process_data)
|
||||
41
src/preprocess.py
Normal file
41
src/preprocess.py
Normal file
@ -0,0 +1,41 @@
|
||||
import numpy as np
|
||||
from csi import CSI
|
||||
import logging
|
||||
from queue import Queue
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
logger.setLevel(logging.DEBUG)
|
||||
|
||||
|
||||
class Preprocessor:
|
||||
NUM_SHORT_TERM_ENTRIES = 10
|
||||
LONG_TERM_ALPHA = 0.1
|
||||
|
||||
def __init__(self):
|
||||
self.prev_entries = Queue(maxsize=100)
|
||||
self.short_term_avg = np.zeros((1,), dtype=complex)
|
||||
self.long_term_avg = np.zeros((1,), dtype=complex)
|
||||
|
||||
def preprocess(self, csi: CSI):
|
||||
h = csi.matrix
|
||||
h_hat = np.multiply(h, h.conj() / abs(h.conj()))
|
||||
|
||||
# Assume that all csi matrices will have the same shape
|
||||
if self.short_term_avg.shape != h_hat.shape:
|
||||
self.short_term_avg = np.zeros(h_hat.shape, dtype=complex)
|
||||
self.long_term_avg = np.zeros(h_hat.shape, dtype=complex)
|
||||
self.prev_entries = Queue(maxsize=100)
|
||||
|
||||
while self.prev_entries.full():
|
||||
old_value = self.prev_entries.get()
|
||||
self.short_term_avg -= old_value / self.NUM_SHORT_TERM_ENTRIES
|
||||
self.prev_entries.put(h_hat)
|
||||
self.short_term_avg += h_hat / self.NUM_SHORT_TERM_ENTRIES
|
||||
self.long_term_avg = (
|
||||
self.long_term_avg * (1 - self.LONG_TERM_ALPHA)
|
||||
+ self.short_term_avg * self.LONG_TERM_ALPHA
|
||||
)
|
||||
|
||||
# Remove static components
|
||||
current_measurement = self.short_term_avg - self.long_term_avg
|
||||
return current_measurement
|
||||
53
src/visualise/__init__.py
Normal file
53
src/visualise/__init__.py
Normal file
@ -0,0 +1,53 @@
|
||||
from flask import Flask, render_template, request
|
||||
from flask_sock import Sock
|
||||
import numpy as np
|
||||
import numpy.typing as npt
|
||||
import json
|
||||
|
||||
app = Flask(__name__)
|
||||
sock = Sock(app)
|
||||
|
||||
|
||||
data: npt.NDArray[np.complex128] = np.array([], dtype=complex)
|
||||
|
||||
|
||||
@app.route("/preprocessed")
|
||||
def preprocessed():
|
||||
return render_template("preprocessed.html")
|
||||
|
||||
|
||||
subscribers = {}
|
||||
|
||||
|
||||
@sock.route("/data")
|
||||
def get_data(sock):
|
||||
while True:
|
||||
msg = sock.receive()
|
||||
subscribers[sock] = list(map(int, msg.split()))
|
||||
|
||||
|
||||
def add_data(new_data):
|
||||
global data
|
||||
if data.size == 0:
|
||||
data = np.expand_dims(new_data, axis=0)
|
||||
else:
|
||||
data = np.concat([data, np.expand_dims(new_data, axis=0)], axis=0)
|
||||
|
||||
# Only keep latest 100 entries
|
||||
if data.shape[0] > 100:
|
||||
data = data[-100:]
|
||||
to_remove = []
|
||||
for subscriber in subscribers:
|
||||
try:
|
||||
subcarrier, rx, tx = subscribers[subscriber]
|
||||
subscriber.send(new_data.real[subcarrier, rx, tx])
|
||||
except Exception as e:
|
||||
to_remove.append(subscriber)
|
||||
print(e)
|
||||
|
||||
for subscriber in to_remove:
|
||||
del subscribers[subscriber]
|
||||
|
||||
|
||||
def start():
|
||||
app.run(debug=True, use_reloader=False)
|
||||
42
src/visualise/static/plot.js
Normal file
42
src/visualise/static/plot.js
Normal file
@ -0,0 +1,42 @@
|
||||
const plotElement = document.getElementById("plot");
|
||||
|
||||
const layout = {
|
||||
title: "Real-Time Complex Data Visualization",
|
||||
xaxis: { title: "Time (ms)" },
|
||||
yaxis: { title: "Value" },
|
||||
};
|
||||
|
||||
Plotly.newPlot(
|
||||
plotElement,
|
||||
[
|
||||
{
|
||||
x: [],
|
||||
y: [],
|
||||
type: "scatter", // Line chart
|
||||
mode: "lines+markers", // Line + markers
|
||||
},
|
||||
],
|
||||
layout,
|
||||
);
|
||||
|
||||
const socket = new WebSocket("ws://" + location.host + "/data");
|
||||
socket.onopen = function () {
|
||||
console.log("Connected to the server");
|
||||
socket.send("0 0 0");
|
||||
};
|
||||
socket.addEventListener("message", function (msg) {
|
||||
Plotly.extendTraces(
|
||||
plotElement,
|
||||
{
|
||||
x: [[msg.timeStamp]],
|
||||
y: [[msg.data]],
|
||||
},
|
||||
[0],
|
||||
100,
|
||||
);
|
||||
});
|
||||
|
||||
function changeSubcarrier() {
|
||||
const subcarrier = document.getElementById("subcarrier").value;
|
||||
socket.send(subcarrier + " 0 0");
|
||||
}
|
||||
15
src/visualise/templates/preprocessed.html
Normal file
15
src/visualise/templates/preprocessed.html
Normal file
@ -0,0 +1,15 @@
|
||||
<!DOCTYPE html>
|
||||
<html>
|
||||
<head>
|
||||
<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.3/dist/css/bootstrap.min.css" rel="stylesheet" integrity="sha384-QWTKZyjpPEjISv5WaRU9OFeRpok6YctnYmDr5pNlyT2bRjXh0JMhjY6hW+ALEwIH" crossorigin="anonymous">
|
||||
<script src="https://cdn.plot.ly/plotly-2.35.2.min.js" charset="utf-8"></script>
|
||||
</head>
|
||||
<body>
|
||||
<div class="container">
|
||||
<h1>Preprocessing</h1>
|
||||
<div id="plot"></div>
|
||||
<script src="{{url_for('static', filename='plot.js')}}"></script>
|
||||
<input type="number" id="subcarrier" class="form-control" placeholder="Choose subcarrier" onchange="changeSubcarrier()" value="0">
|
||||
</div>
|
||||
<script src="https://cdn.jsdelivr.net/npm/bootstrap@5.3.3/dist/js/bootstrap.bundle.min.js" integrity="sha384-YvpcrYf0tY3lHB60NNkmXc5s9fDVZLESaAA55NDzOxhy9GkcIdslK1eN7N6jIeHz" crossorigin="anonymous"></script>
|
||||
</body>
|
||||
Loading…
Reference in New Issue
Block a user