Use horizontal acceleration to check if yaw is observable independent of the magnetometer.
Use rotation about the vertical to check if mag raises are observable.
If neither yaw of mag biases are observable, save the magnetic field variances and switch to magnetic yaw fusion.
Use the last learned declination when using magnetic yaw fusion so that the yaw reference remains consistent.
When yaw or biases become observable, reinstate the saved variances and switch back to 3D mag fusion.
Add a bitmask parameter to control bias learning for individual axes. This is achieved by setting the disabled states to zero together with their corresponding covariances.
Minor cleanup of the covariance prediction comments.
Removal of unnecessary variable copy operations.
Replace index operations to initialise covariance to zero with the more efficient memset.
This change removes the following compiler error when building using the ARM cross compiler.
/Users/paul/src/Firmware/src/lib/ecl/EKF/ekf_helper.cpp:45:12: error: 'std::abs' has not been declared
using std::abs;
This was incorrectly using the IMU (1/250 sec) timestamp instead of the EKF (1/100 sec) value.
The corresponding accelerometer limit has been made a parameter and adjusted to match previous behaviour.
- position reset method was returning before the actual delta values
were written and applied to the output buffer
- apply reset delta also to the output sample which was already taken out
from the output buffer, otherwise the complementary filter solution is
offset from the ekf solution
Signed-off-by: Roman <bapstroman@gmail.com>
This fixes a compile error with GCC 5.2.0 and cross-compilation:
/usr/arm-none-eabi/include/c++/5.2.0/arm-none-eabi/armv7e-m/fpu/bits/error_constants.h:122:27: error: 'ENOTSUP' was not declared in this scope
not_supported = ENOTSUP,
The problem was that the #include <iomanip> was taken from the host system,
which conflicts with includes from NuttX (NuttX has only basic C++ STL
support)
All the decision for a sensor are made within a specific function for that sensor and when there is data to process at the fusion time horizon.
Information and warning messages are improved.
Improves reset of quaternion covariance matrix after a heading reset by preserving variance in roll and pitch and resetting yaw variance to the measurement variance.
