Understanding Satellite Navigation, Second Edition presents the foundational principles of satellite navigation technology with the bare minimum of mathematics and without resorting to complex equations. By emphasizing first principles, the book guides readers through each concept using practical demonstrations and fully worked examples, allowing theory to emerge organically. A comprehensive suite of MATLAB simulations illuminates how signals and systems respond to different configurations, transforming abstract ideas into visible, interactive models. Implementation strategies and real-world applications are woven throughout, alongside in-depth treatments of special topics such as Space Weather, the Kalman Filter, and ionospheric dynamics.
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Dr. Rajat Acharya is a Senior Scientist at the Space Applications Centre, a key unit of the Indian Space Research Organisation (ISRO). With over two decades of involvement in India’s satellite navigation programs―GAGAN and NavIC―he has significant contributions in ionospheric modelling and space weather research. Dr. Acharya serves as Course Director for GNSS and SATCOM at the UN-affiliated Centre for Space Science and Technology Education in Asia and the Pacific (CSSTEAP). He has also been a Visiting Professor at Gujarat University, where he taught postgraduate courses in Geo-informatics and Satellite Navigation. Dr. Rajat Acharya regularly teaches Space Weather at the postgraduate level and has written extensively, authoring other popular books on the subject. He also represented India as Co-Chair of Working Group-C during the sessions of the International Committee on Global Navigation Satellite Systems (ICG).
Understanding Satellite Navigation, 2nd edition explains the basic principles of satellite navigation technology with the bare minimum of mathematics and without complex equations. It helps you to conceptualize the underlying theory from first principles, building up your knowledge gradually using practical demonstrations and worked examples. A full range of MATLAB simulations is used to visualize concepts and solve problems, allowing you to see what happens to signals and systems with different configurations. Implementation and applications are discussed, along with some special topics such as Space Weather, Kalman Filter and Ionosphere.
New content in this edition:
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