Add Python script to plot logged buffers. Modified write_file_matlab() to add .bin extension if binary format is selected.
35 lines
1.3 KiB
Markdown
35 lines
1.3 KiB
Markdown
# Plotting tools
|
|
|
|
## `ul_bler_vs_snr_graph.py`
|
|
|
|
This generates UL BLER vs SNR plots using nr_ulsim. It uses cache so subsequent runs are faster.
|
|
Assumes your nr_ulsim is in `../../cmake_targets/ran_build/build`. Run with -h flag to see options
|
|
|
|
Example graph:
|
|
|
|

|
|
|
|
### Cache usage and modifting `nr_ulsim` command
|
|
|
|
Modify the script call to `nr_ulsim` if you want a different channel model or other flags in the `nr_ulsim` command.
|
|
Remember to clear the cache (remove `cache.pkl` from this folder) so that the results from a different run are not
|
|
taken from the cache.
|
|
|
|
Same goes for any software modifications of `nr_ulsim` - the cache is not aware of the software version used to generate
|
|
the data - remember to clear your cache manually if you are comparing different `nr_ulsim` versions.
|
|
|
|
The script also allows to skip usage of the cache with `--rerun` option.
|
|
|
|
## `dl_graph.py`
|
|
|
|
This generates plots from data saved from nr_dlsim. It takes data in two formats:
|
|
|
|
1. Plots frequency domain channel estimates, constellation diagram and LLRs from data read in binary format. The data is generated from `nr_dlsim -w`
|
|
2. Plots BER (other also possible) from CSV data generated by `nr_dlsim -Z`.
|
|
|
|
The plots are saved in three formats: `.png`, `.pdf` and `.svg`.
|
|
|
|
### Example graphs:
|
|
#### BER
|
|

|