correct
Correct states using direct state measurements for
ahrs10filter
Description
correct(
corrects the state and state estimation error covariance based on the measurement and
measurement covariance. The measurement maps directly to the state specified by the indices
FUSE
,idx
,measurement
,measurementCovariance
)idx
.
Examples
Correct ahrs10filter
Using Direct Measurement
Create
an ahrs10filter
object and display its state.
filter = ahrs10filter; disp(filter.State')
1.0000 0 0 0 0 0 0 0 0 0 0 0 27.5550 -2.4169 -16.0849 0 0 0
Fuse altimeter data with a reading and a covariance using the correct
object function.
idx = [5 6]; measure = [500 10]; measureCov = diag([5 1])*1e-6; correct(filter,idx,measure,measureCov)
Display the state after the fusing.
disp(filter.State')
1.0000 0 0 0 83.3333 5.0000 0 0 0 0 0 0 27.5550 -2.4169 -16.0849 0 0 0
Input Arguments
FUSE
— ahrs10filter
object
object
Object of ahrs10filter
.
idx
— State vector index of measurement to correct
N-element vector of increasing integers in the range
[1,18]
State vector index of measurement to correct, specified as an N-element vector of increasing integers in the range [1,18].
The state values represent:
State | Units | Index |
---|---|---|
Orientation (quaternion parts) | N/A | 1:4 |
Altitude (NED) | m | 5 |
Vertical Velocity (NED) | m/s | 6 |
Delta Angle Bias (XYZ) | rad/s | 7:9 |
Delta Velocity Bias (XYZ) | m/s | 10:12 |
Geomagnetic Field Vector (NED) | μT | 13:15 |
Magnetometer Bias (XYZ) | μT | 16:18 |
Data Types: single
| double
measurement
— Direct measurement of state
N-element vector
Direct measurement of state, specified as a N-element vector.
N is the number of elements of the index argument,
idx
.
Data Types: single
| double
measurementCovariance
— Covariance of measurement
scalar | N-element vector | N-by-N matrix
Covariance of measurement, specified as a scalar, N-element
vector, or N-by-N matrix. N is
the number of elements of the index argument, idx
.
Data Types: single
| double
Extended Capabilities
C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.
Version History
Introduced in R2019a
See Also
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