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correct

Correct states using direct state measurements for insfilterMARG

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Syntax

correct(FUSE,idx,measurement,measurementCovariance)

Description

correct(FUSE,idx,measurement,measurementCovariance) 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 idx.

example

Examples

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Open Live Script

Create an insfilterMARG object and display its state.

filter = insfilterMARG;
disp(filter.State')
    1.0000         0         0         0         0         0         0         0         0         0         0         0         0         0         0         0   27.5550   -2.4169  -16.0849         0         0         0

Fuse a position measurement with its corresponding covariance.

idx = [5 6 7];
measure = [10 10 0];
measureCov = 1e-4*diag([5 5 5]);
correct(filter,idx,measure,measureCov)

Display the state after the fusing.

disp(filter.State')
    1.0000         0         0         0    0.0200    0.0200         0         0         0         0         0         0         0         0         0         0   27.5550   -2.4169  -16.0849         0         0         0

Input Arguments

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insfilterMARG, specified as an object.

State vector index of measurement to correct, specified as an N-element vector of increasing integers in the range [1, 22].

The state values represent:

StateUnitsIndex
Orientation (quaternion parts) 1:4
Position (NED)m5:7
Velocity (NED)m/s8:10
Delta Angle Bias (XYZ)rad11:13
Delta Velocity Bias (XYZ)m/s14:16
Geomagnetic Field Vector (NED)µT17:19
Magnetometer Bias (XYZ)µT20:22

Data Types: single | double

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

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 R2018b

See Also

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