Mohinder S. Grewal - Global Navigation Satellite Systems, Inertial Navigation, and Integration

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Covers significant changes in GPS/INS technology, and includes new material on GPS,
GNSSs including GPS, Glonass, Galileo, BeiDou, QZSS, and IRNSS/NAViC,
and MATLAB programs on square root information filtering (SRIF)
This book provides readers with solutions to real-world problems associated with global navigation satellite systems, inertial navigation, and integration. It presents readers with numerous detailed examples and practice problems, including GNSS-aided INS, modeling of gyros and accelerometers, and SBAS and GBAS. This revised fourth edition adds new material on GPS III and RAIM. It also provides updated information on low cost sensors such as MEMS, as well as GLONASS, Galileo, BeiDou, QZSS, and IRNSS/NAViC, and QZSS. Revisions also include added material on the more numerically stable square-root information filter (SRIF) with MATLAB programs and examples from GNSS system state filters such as ensemble time filter with square-root covariance filter (SRCF) of Bierman and Thornton and SigmaRho filter.
Global Navigation Satellite Systems, Inertial Navigation, and Integration, 4th Edition Updates on the significant upgrades in existing GNSS systems, and on other systems currently under advanced development Expanded coverage of basic principles of antenna design, and practical antenna design solutions More information on basic principles of receiver design, and an update of the foundations for code and carrier acquisition and tracking within a GNSS receiver Examples demonstrating independence of Kalman filtering from probability density functions of error sources beyond their means and covariances New coverage of inertial navigation to cover recent technology developments and the mathematical models and methods used in its implementation Wider coverage of GNSS/INS integration, including derivation of a unified GNSS/INS integration model, its MATLAB implementations, and performance evaluation under simulated dynamic conditions
is intended for people who need a working knowledge of Global Navigation Satellite Systems (GNSS), Inertial Navigation Systems (INS), and the Kalman filtering models and methods used in their integration.

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(3.28) that avoids all the noncommutativity errors and satisfies the constraint of - фото 216

that avoids all the noncommutativity errors, and satisfies the constraint of Eq. ( 3.27) so long as the body cannot turn 180° in one sample interval Global Navigation Satellite Systems Inertial Navigation and Integration - изображение 217. In practice, the integral is done numerically with the gyro outputs Global Navigation Satellite Systems Inertial Navigation and Integration - изображение 218sampled at intervals картинка 219. The choice of картинка 220is usually made by analyzing the gyro outputs under operating conditions (including vibration isolation), and selecting a sampling frequency картинка 221well above the Nyquist frequency for the observed attitude rate spectrum. The frequency response of the gyros also enters into this design analysis.

The MATLAB® function fBortz.mon www.wiley.com/go/grewal/gnsscalculates картинка 222defined by Eq. (3.26).

3.6.1.2 Quaternion Implementation

The quaternion representation of vehicle attitude is the most reliable, and it is used as the “holy point” of attitude representation. Its value is maintained using the incremental rotations картинка 223from the rotation vector representation, and the resulting values are used to generate the coordinate transformation matrix for accumulating velocity changes in inertial coordinates.

Quaternions represent three‐dimensional attitude on the three‐dimensional surface of the four‐dimensional sphere, much like two‐dimensional directions can be represented on the two‐dimensional surface of the three‐dimensional sphere.

Converting Incremental Rotations to Incremental Quaternions

An incremental rotation vector картинка 224from the Bortz coning correction implementation of Eq. (3.28)can be converted to an equivalent incremental quaternion by the operations 329 330 331 - фото 225by the operations

(3.29) 330 331 Quaternion implementatio - фото 226

(3.30) 331 Quaternion implementation of attitude integration If is the - фото 227

(3.31) Quaternion implementation of attitude integration If is the quaternion - фото 228

Quaternion implementation of attitude integration

If is the quaternion representing the prior value of attitude,

is the quaternion representing the change in attitude, and

is the quaternion representing the updated value of attitude,

then the update equation for quaternion representation of attitude is

(3.32) here represents quaternion multiplication defined in Appendix B and the - фото 229

here “ картинка 230represents quaternion multiplication (defined in Appendix B) and the superscript represents the conjugate of a quaternion 333 3613 Direction Cosines - фото 231represents the conjugate of a quaternion,

(3.33) 3613 Direction Cosines Implementation The coordinate transformation matrix - фото 232

3.6.1.3 Direction Cosines Implementation

The coordinate transformation matrix картинка 233from body‐fixed coordinates to inertial coordinates is needed for transforming discretized velocity changes measured by accelerometers into inertial coordinates for integration. The quaternion representation of attitude is used for computing картинка 234.

Quaternions to Direction Cosines Matrices

The direction cosines matrix from bodyfixed coordinates to inertial coordinates can be computed from its - фото 235from body‐fixed coordinates to inertial coordinates can be computed from its equivalent unit quaternion representation

(3.34) as 335 Strapdown with Wholeangle Gyroscopes These are momentum wheel - фото 236

as

(3.35) Strapdown with Wholeangle Gyroscopes These are momentum wheel gyroscopes - фото 237

Strapdown with Whole‐angle Gyroscopes

These are momentum wheel gyroscopes whose spin axes are unconstrained, such as they are for Foucault's gimbaled gyroscope or electrostatic gyroscopes. In either case, the direction of the spin axis serves as an inertial reference – like a star. Two of these with quasi‐orthogonal spin axes provide a complete inertial reference system. The only attitude propagation required in this case is to compensate for the spin axis drifts due to bearing torques and rotor axial mass unbalance (an acceleration‐sensitive effect). The different coordinate systems involved are illustrated in Figure 3.18.

Figure 318Coordinates for strapdown navigation with wholeangle gyroscopes - фото 238

Figure 3.18Coordinates for strapdown navigation with whole‐angle gyroscopes.

Figure 319Attitude representation formats and MATLAB transformations - фото 239

Figure 3.19Attitude representation formats and MATLAB® transformations.

3.6.1.4 MATLAB® Implementations

Figure 3.19shows four different representations used for relative rotational orientations, and the names of the MATLAB® script m‐files (i.e. with the added ending .m) on www.wiley.com/go/grewal/gnssfor transforming from one representation to another.

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