mckero
fed9fe188e
The QTH Locator port keeps the decompiled range tables, which close both adjacent cells (`-20.0..0.0` then `0.0..20.0`). Kotlin's `when` takes the first match, so any coordinate landing exactly on a field, square or subsquare boundary was attributed to the previous cell: (0, 0) II99xx99 should be JJ00aa00 (1, 1) JJ00lx99 should be JJ01ma00 (22, 108) OL31xx99 should be OL42aa00 (22.5, 108.5) OL42fl99 should be OL42gm00 (22.25, 108.25) OL42cf99 should be OL42dg00 At the field level the locator is wrong by a whole 20 deg x 10 deg field, and the 3x3 neighbour grid plus the red position marker are derived from the same characters, so the whole Roaming screen pointed at the wrong square. Cross-checking the port against core/domain positionToQth over the grid: before: 65,341 sampled points, 4 agreed after: 65,341 sampled points, all agree The independent converter was confirmed correct first: it reproduces the user-verified reference sample OL42ih45, and hand-computing lon=-179.75 (0.25 deg into the field, x12 -> subsquare index 3 = 'd') and lat=-90 (subsquare 'a', extended digit 0) matches it rather than the port. Rather than rewriting the faithful lookup tables, nudge the input by 1e-10 so the closed ranges behave like the standard half-open [low, high) cells, keeping +90/+180 inside the final R cell. Seven real-world city samples and all existing ported-behaviour tests, including (90, 180) -> RR99xx99, are unchanged. Regression tests added for the boundary cases and for cross-implementation agreement. Reverting the fix fails both; with the fix :feature:roaming:testDebugUnitTest is green.
Look4Sat: Satellite tracker
Radio satellite tracker and pass predictor for Android, inspired by Gpredict
Track satellite passes with ease!
Thanks to Celestrak and SatNOGS you have access to over 9000 active satellites.
You can search the entire database by NORAD Catalog Number or the satellite's name.
Orbital positions and passes are calculated relative to your location.
To get reliable data make sure to set the station position via the app Settings.
The application is built using Kotlin, Coroutines, Jetpack Compose and Navigation.
It is now and always will be completely ad-free and open-source.
Main features:
- Predicting satellite positions and passes for up to 10 days
- Showing the list of currently active and upcoming satellite passes
- Showing the active pass progress, polar trajectory and transceivers info
- Showing the satellite positional data, footprint and ground track on the map
- Custom TLE satellite data import is available via Three Line Element .txt files
- Offline first: calculations are made offline. Weekly TLE data update is recommended.
License
The Look4Sat application code is licensed under the GNU General Public License v3.0.
The CW decoder in feature/cw bundles the DeepCW
neural decoding model, licensed under the GNU Affero General Public License v3.0 only
(AGPL-3.0-only). Because the combined work incorporates an AGPL-3.0 component, the
combined work is distributed under the
GNU Affero General Public License v3.0 — GPL-3.0 Section 13 permits the
combination, and AGPL-3.0 Section 13 applies to the combined work as a whole.
Model provenance and attribution are documented in
feature/cw/licenses/NOTICE.md; the original GPL-3.0
text is preserved at feature/cw/licenses/Look4Sat-GPL-3.0.txt. The CW model runs
locally on-device and does not provide services over a network.