Thesis - Leigh Moody.pdf - Bad Request - Cranfield University

Appendix I / Utilities
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Constant x Vector Product
Vector Addition
Vector Cross Product
Scalar Product
Vector Image
Vector Magnitudes
Vector Spherical Magnitude
Vector X-Y Magnitude
Vector Y-Z Magnitude
22.1.12 Covariance Extraction
CMS group [ COVARS ]
22.1-7
Vector Negation
Vector Subtraction
Vector Triple Product
Vector Zero
Vector Summation
Vector Extraction from a Matrix
Vector Insertion
Vector Extraction
State observation analysis requires utilities for determining the uncertainty
in parameters that are functions of the state, i.e. covariance extraction. The
utilities provided determine the uncertainty in commonly used parameters
that are a function of the state observer. They perform covariance
transformation from one representation, or frame, to another; and provide
performance metrics that are covariance data dependent.
Quaternion to Euler angle Variance Transform
Range Uncertainty
Range Rate Uncertainty
Yaw Angle Uncertainty
Pitch Angle Uncertainty
Velocity Vector Yaw Angle Uncertainty
Velocity Vector Pitch Angle Uncertainty
Yaw Rate Uncertainty
Pitch Rate Uncertainty
Differential Angle Uncertainty
Differential Angular Rate Uncertainty
Polar to Cartesian Covariance Conversion
Covariance Matrix Main Diagonal Extraction
Covariance Matrix Eigenvalue Metric
Covariance Tracking Metric
Mahalanobis Distance Metric
Circular Error Probable (CEP) Metric