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morgan 0a66f4c343 fix helper PLL glitches sim: rename collector to phase_collector sim: add period_collector for gtx tags sim: trigger helper PLL after period_collector_r sim: remove cycle slip compensation sim: generator gtx in time loop wave_gen: replace square generator with phase accumulator wave_gen&wrpll: add white_noise generator docs: remove section & png about cycle slipping and deglitcher failure		2023-12-12 13:32:22 +08:00
src	fix helper PLL glitches	2023-12-12 13:32:22 +08:00
.gitignore	git: ignore .venv folder	2023-12-05 10:44:16 +08:00
README.md	fix helper PLL glitches	2023-12-12 13:32:22 +08:00
flake.lock	add python dependencies and update flake	2023-12-05 10:41:58 +08:00
flake.nix	add python dependencies and update flake	2023-12-05 10:41:58 +08:00
requirements.txt	add python dependencies and update flake	2023-12-05 10:41:58 +08:00

WRPLL simulation

A time domain simulation for WRPLL

Installing dependencies

nix develop

python -m venv .venv
source .venv/bin/activate
(venv) pip install -r requirements.txt

Three notebook examples are included
1. helper_PLL_example.ipynb : helper PLL only
2. main_PLL_example.ipynb : main PLL only with a user specific helper frequency
3. both_PLL_example.ipynb : main and helper PLL
RAM usage and execution time estimate for simulation ONLY
1. 100,000,000 time steps: 6GiB RAM and 12 seconds
2. 200,000,000 time steps: 11GiB RAM and 20 seconds
3. 300,000,000 time steps: 16GiB RAM and 35 seconds

WRPLL formulas

Assume the difference between f_{main}, f_{gtx} is very small
- Let f_{in} = f_{main} = f_{gtx}
- f_{helper} = f_{in} * \dfrac{N-1}{N}
- f_{beat} = f_{in} - f_{helper} = \dfrac{f_{in}}{N}
Main and helper Si549 DCXO ADPLL setting
- ADPLL = \dfrac{\Delta f_{outppm}}{0.0001164}

As the simulation is not cycle nor delay accurate, there will be more glitches than the hardware implementation