Class AccumulatedAccelerationTriadNoiseEstimator

java.lang.Object
com.irurueta.navigation.inertial.calibration.noise.AccumulatedTriadNoiseEstimator<com.irurueta.units.AccelerationUnit,com.irurueta.units.Acceleration,AccelerationTriad,AccumulatedAccelerationTriadNoiseEstimator,AccumulatedAccelerationTriadNoiseEstimatorListener>
com.irurueta.navigation.inertial.calibration.noise.AccumulatedAccelerationTriadNoiseEstimator
All Implemented Interfaces:
AccelerometerNoiseRootPsdSource

public class AccumulatedAccelerationTriadNoiseEstimator extends AccumulatedTriadNoiseEstimator<com.irurueta.units.AccelerationUnit,com.irurueta.units.Acceleration,AccelerationTriad,AccumulatedAccelerationTriadNoiseEstimator,AccumulatedAccelerationTriadNoiseEstimatorListener> implements AccelerometerNoiseRootPsdSource
Estimates accumulated acceleration noise variances and PSD's (Power Spectral Densities) along with their average values. This estimator must be used when the body where the accelerometer is attached remains static on the same position with zero velocity while capturing data. To compute PSD's, this estimator assumes that measurement samples are obtained at a constant provided rate equal to AccumulatedTriadNoiseEstimator.getTimeInterval() seconds. If not available, accelerometer sampling rate average can be estimated using TimeIntervalEstimator. This estimator does NOT require the knowledge of current location and body orientation. Because body location and orientation is not known, estimated average values cannot be used to determine biases. Only norm of noise estimations (variance or standard deviation) can be safely used. This estimator does NOT require the knowledge of current location and body orientation. This implementation of noise estimator will use the following units: - meters per squared second (m/s^2) for acceleration, average or standard deviation values. - (m^2/s^4) for acceleration variances. - (m^2 * s^-3) for accelerometer PSD (Power Spectral Density). - (m * s^-1.5) for accelerometer root PSD (Power Spectral Density).