ENV-542: Advanced satellite positioning

Lectures in this course (48)

Covers the rotation between Cartesian frames and their properties in SO(3) and Euler parameterization.

Covers the Earth Centered Inertial (ECI) frame and its relationship with orbital planes, seasons, and rotational directions.

Explores the ECEF frame for satellite positions, orbital planes, and orbit parameters.

Explores additional transformations between geocentric and geodetic systems, map projections, and vertical reference systems.

Explains the calculation of pseudoranges in GPS observations and the importance of ephemerides data.

Covers the receiver position estimation using pseudorange data via Bancroft method and GPS observations.

Explains the Bancroft method for determining receiver position accurately using equations and matrices.

Explains the concept of pseudo inverse in spatial positioning in 3D space.

Covers the least-square approach for parameter estimation and Dilution of Precision metrics in satellite positioning.

Covers the generation and processing of GNSS signals from satellites to Earth.

Explores the construction of signals in space for satellite positioning systems, including navigation data, channel coding, and spreading modulation.

Covers the concept of correlation in the context of advanced satellite positioning.

Covers GPS signal spreading techniques and Signal in Space construction.

Covers the GMWM methodology for stochastic modeling using inertial sensors in signal propagation and link budget analysis.

Introduces signal acquisition, GMWM for sensor calibration, and the importance of accurate parameter matching.

Covers key concepts such as VA, CAF, bin calculations, and Doppler effect.

Explores stochastic modeling of sensors and search architectures for optimal fusion.

Covers challenges and solutions for data bits transitions in GNSS systems, including signal phase inversion and squaring losses.

Explains the principles of frequency search and signal processing techniques for accurate results.

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