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engine: trilat improvements

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Oliver Gaskell 2025-11-02 15:47:33 +00:00
parent 913b558ebf
commit 2edce7c73a
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1 changed files with 19 additions and 11 deletions
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engine.py
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@ -6,7 +6,7 @@ import overpy
import numpy as np import numpy as np
import pandas as pd import pandas as pd
import scipy import scipy
# import random import random
from pathlib import Path from pathlib import Path
@ -19,7 +19,7 @@ BRANDS: dict[str, str] = {
CACHE_FOLDER = Path(".cache") CACHE_FOLDER = Path(".cache")
LOCS_COUNT = 5 LOCS_COUNT = 5
DISTS_COUNT = 5 DISTS_COUNT = 2
FORMAT_FACTOR = 1e6 # μm FORMAT_FACTOR = 1e6 # μm
FIRST_SEP = ':' FIRST_SEP = ':'
@ -137,17 +137,25 @@ def trilaterate(stations: list[StationT], disp: bool = False) -> tuple[float, fl
Each station is of the format ((lat, lon), distance). Each station is of the format ((lat, lon), distance).
""" """
res = scipy.optimize.minimize( best_err = None
lambda pos: trilat_error(stations, pos), best = (0., 0.)
# stations[0][0],
(0.0, 0.0),
method='Nelder-Mead',
)
if not res.success: for pos, _ in stations:
print("WARNING: Optimisation failed.") res = scipy.optimize.minimize(
lambda pos: trilat_error(stations, pos),
# stations[0][0],
pos,
method='Nelder-Mead',
)
return res.x if not res.success:
continue
if best_err is None or res.fun < best_err:
best = res.x
best_err = res.fun
return best
def encode_greggs(loc: int) -> list[float]: def encode_greggs(loc: int) -> list[float]: