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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4 Chapter 5Figure 5.1 Illustration of GNSS frequency and bandwidth (BW) for various GNSSs...Figure 5.2 Antenna configuration for reception of a GNSS RHCP signal. (a) Top ...Figure 5.3 Illustration of a GNSS antenna bandwidth using a 2.0 : 1.0 SWR metr...Figure 5.4 Patch antenna aviation form factors (with radome) [14].Figure 5.5 Illustration of a single‐frequency edge‐fed patch antenna. (a) Edge...Figure 5.6 Passive probe‐fed patch antenna with a coaxial/connector output.Figure 5.7 Probe‐fed patch antenna with capacitive coupler ring.Figure 5.8 Dual probe‐fed patch antenna with separate quadrature power combine...Figure 5.9 Photograph of a low‐cost active single‐frequency probe‐fed RHCP GPS...Figure 5.10 Dual probe‐fed, RHCP, multifrequency GNSS patch antenna.Figure 5.11 Typical choke ring‐based GNSS antenna configuration.Figure 5.12 Photograph of a 3D choke ring [30].Figure 5.13 Spiral GNSS antenna (spiral and can only) [31].Figure 5.14 GNSS‐850 antenna (radome removed) plane [34].Figure 5.15 Typical radiation characteristics of the wideband GNSS‐850 antenna...Figure 5.16 General block diagram of a GNSS adaptive antenna array.Figure 5.17 Illustration of theoretical seven‐element CRPA array factor (with ...

5 Chapter 6Figure 6.1 Generic block diagram of GNSS receiver. PR: pseudorange; CP: carri...Figure 6.2 Generic GNSS receiver RF front end and IF signal conditioning circ...Figure 6.3 Signal search method.Figure 6.4 Sequential frequency search strategy.Figure 6.5 Illustration of tradeoff between P Dand P FA.Figure 6.6 Global and confirmation search regions.Figure 6.7 Generic GNSS receiver code tracking loop.Figure 6.8 Code tracking loop error signal (open loop).Figure 6.9 Generic GNSS receiver carrier tracking loop.Figure 6.10 Pseudorange measurement concept.Figure 6.11 Theoretically achievable C/A‐code pseudorange error.Figure 6.12 Theoretically achievable carrier phase measurement error.Figure 6.13 Theoretically achievable frequency estimation error.

6 Chapter 7Figure 7.1 Bilinear interpolation.Figure 7.2 Effect of multipath on C/A‐code cross‐correlation function.Figure 7.3 Reduced multipath error with larger precorrelation bandwidth.Figure 7.4 Multipath‐mitigating reference code waveform.Figure 7.5 Compression of the received signal.Figure 7.6 Performance of various multipath mitigation approaches.Figure 7.7 Residual multipath phase error using MMT algorithm.Figure 7.8 Schematic of a rubidium atomic clock. RF: radio frequency.Figure 7.9 Crystal clock error model.Figure 7.10 GPS UERE budget.

7 Chapter 8Figure 8.1 WAAS top‐level view.Figure 8.2 European Global Navigation Overlay System architecture.Figure 8.3 Current and planned SBAS service areas.Figure 8.4 GCCS top‐level view. TLT: test loop translator; KPA: Klystron power...Figure 8.5 Primary GEO uplink subsystem type (GUST) control loop functional bl...Figure 8.6 Control loop test setup. AIX = IBM Advanced Interactive eXecutive P...Figure 8.7 Primary GUS clock steering.Figure 8.8 Backup GUS clock steering.Figure 8.9 Relationship between UDRE and GDOP.Figure 8.10 Local‐area augmentation system (LAAS). VDB: very high frequency da...

8 Chapter 9Figure 9.1 Test statistic plane for the six satellites in view.Figure 9.2 Integrity mitigation within an SBAS.

9 Chapter 10Figure 10.1 Top‐level date flow diagram of Kalman filter implementation.Figure 10.2 Linearization error analysis of pseudorange measurements.Figure 10.3 Sigma‐points for картинка 3.Figure 10.4 Simulated innovations monitoring.Figure 10.5 Sample картинка 4subplot output from avRMStestfunction.m, showing RMS unce...Figure 10.6 Pseudorange measurement geometry.

10 Chapter 11Figure 11.1 Misalignment of INS navigation coordinates.Figure 11.2 Effects of INS position errors.Figure 11.3 INS navigation solution flowchart.Figure 11.4 Velocity leveling for terrestrial navigation.Figure 11.5 Growth of vertical channel errors over 10 hours.Figure 11.6 CEP plot from m‐file F10CEPrate.m.Figure 11.7 Schuler/Coriolis demonstration using seven‐state horizontal error ...Figure 11.8 PSDs of common sensor noise models.Figure 11.9 Estimated CEP rate versus gyro and accelerometer noise.Figure 11.10 CEP slope versus accelerometer compensation drift parameters, bas...

11 Chapter 12Figure 12.1 Loosely and tightly coupled implementations.Figure 12.2 Block structure of dynamic coefficient matrix.Figure 12.3 Dynamic conditions on 100‐km figure‐8 test track.Figure 12.4 GNSS navigation geometry.Figure 12.5 GNSS‐only navigation simulation results.Figure 12.6 INS‐only navigation simulation results.Figure 12.7 Integrated GNSS/INS navigation simulation results.

12 2Figure B.1 Earth‐centered inertial (ECI) coordinates.Figure B.2 Cartesian & polar coordinates.Figure B.3 Celestial coordinates.Figure B.4 Keplerian Parameters for Satellite OrbitFigure B.5 ECI and ECEF coordinates.Figure B.6 Geocentric, parametric, and geodetic latitudes in meridional plane.Figure B.7 ENU coordinates.Figure B.8 Alpha wander.Figure B.9 Roll–pitch–yaw axes.Figure B.10 Vehicle Euler angles.Figure B.11 Pseudorange.Figure B.12 Satellite coordinates.Figure B.13 Rotation from ENU to NED coordinates.Figure B.14 MATLAB® transformations of coordinate representations.Figure B.15 Rotating coordinates.

13 3Figure C.1 Ten different univariate PDFs with common means картинка 5and variance картинка 6.Figure C.2 Identical results from all 10 PDFs.Figure C.3 Sampling of nonlinear functions used.Figure C.4 PDF‐dependent mean variations from symmetric nonlinearities.Figure C.5 PDF‐dependent mean variations from antisymmetric nonlinearities.Figure C.6 PDF‐dependent variance variations from symmetric nonlinearities.Figure C.7 PDF‐dependent variance variations from antisymmetric nonlinearities...

Guide

1 Cover

2 Table of Contents

3 Begin Reading

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