Range does not provide a direct terrain observation but a measurement
relative to the height state. Correlation between height and terrain
must be set properly.
This is similar to fake pos but is only used when the ekf has an
external information telling it that the vehicle is not changing
position. This information can then be used to keep a valid local
position even when the vehicle isn't exactly at rest.
* reset position by fusion
* handle local_pos_valid for fixed wing in gnss denied
* [WIP] ekf2: setEkfGlobalOrigin respect current height reference and vertical position aiding
* global origin, also reset vertical pos without gps as ref
* fix wo gnss, that bitcraze ci passes
* revert some changes as requested
* remove duplicate reset messages
* undo unrelated whitespace changes, I'll fix it everywhere in a followup
* [SQUASH] ekf2: add vehicle_command_ack
* resetGlobalPosToExternalObservation consolidate logic
* remove gnss check from local_pos validation check
* reset when 0<accuracy<1, otherwise fuse
* replace gps param with flag
* ekf2: dead reckon time exceeded, respect ZUPT preflight if air data or optical flow expected
* subtract timeout from last inertial dead-reck, change fake pos conditions, save flash
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Co-authored-by: Daniel Agar <daniel@agar.ca>
When using optical flow for terrain aiding, we cannot assume that the
terrain estimate is valid if flow is fused as is can only be observed
during motion. When no direct observation is available, the terrain is
assumed to be valid if its 1sigma uncertainty is < 10% of the hagl.
- upate to NOAA grid API to build WMM table in one pass
- refactor declination/inclination/totalintensity table printing to
shared method
- compute scaling factor to maximize resolution
When North-East (e.g.: GNSS pos/vel) aiding is active, the heading
estimate is constrained and consistent with the vel/pos aiding. Reset to
GNSS heading should only occur if no N-E aiding is active or if the
filter is not yes aligned. Otherwise, just wait for the consistency
check to pass again (will pass at some point if the heading uncertainty
of the filter is getting too high).
The duration of a unit test had to be increased because the incorrect
covariance matrix update, was making the unit test passing faster
(over-optimistic variance).