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Artech House UK
Navigation and Tracking in Space: Analysis and Algorithms

Navigation and Tracking in Space: Analysis and Algorithms

Copyright: 2023
Pages: 340
ISBN: 9781630819200
Coming Soon: Available 09/30/2023

Print Book £138.00 Qty:

This book focuses on the navigation and tracking of artificial space objects, with emphasis on modelling the dynamics in a wide range of space missions, including: earth-orbiting satellite missions, launch and re-entry missions as well as interplanetary missions. The book guides you in designing suitable estimation algorithms for each type of mission. It also helps you in addressing non-linearity in designing navigation algorithms for space missions, and walks you through the process for choosing estimators for navigation and tracking of space vehicles.


You’ll find specific details on earth-orbiting satellite tracking and navigation that helps you determine precise orbit, and will understand how to get navigation and tracking results using the Least Square Estimation and the Extended Kalman Filter (EKF) for simulated observations. You also learn how to address tracking performance of spacecraft in interplanetary trajectories that are affected by a diverse set of problems, such low signal power, intermittent observations, observations at low rate and delays. Techniques for designing navigation and tracking algorithms to address these problems are delineated. The book also provides in-depth coverage of multi-object tracking, relevant data association and estimation algorithms in the Situational Space Awareness context.


MATLAB/ Simulink based software is provided for simulation and simulated data set. This is an excellent reference and practical tool for professionals in the field of Guidance, Navigation and Control, along with researchers and advanced students in the field of space vehicle navigation, tracking, guidance and control.

Chapter 1. Introduction


Chapter 2. Space Vehicle Dynamics

2.1. Earth Orbiting satellites
2.2. Launch vehicle
2. 3. Re-entry vehicle
2.4. Interplanetary spacecrafts


Chapter 3. Observations

3.1. Ground-based observations
3.2. Space-based observations


Chapter 4. Reference System

4.1. Time reference
4. 2. Reference frames


Chapter 5. Estimation Algorithms

5.1. Batch processing and Least square Estimation
5.2. Kalman Filters
5.3. Particle Filter and other advanced methods


Chapter 6. Navigation and Tracking of Satellites

6.1. Orbit Determination using multi-sensor data fusion
6.2. Precise Orbit Determination
6.3. Real-time on-board navigation
6.4. Practical Considerations


Chapter 7. Navigation and Tracking During Launch and Re-entry

7.1. Ground-based tracking
7.2. On-board navigation
7.3. Practical Considerations


Chapter 8. Navigation and Tracking in Interplanetary Missions

8.1. Challenges in interplanetary missions
8.2. Ground-based tracking
8.3. On-board navigation and future directions


Chapter 9. Tracking of Space Objects for Space Situational Awareness

9.1. Multi-object tracking
9.2. Data association
9.3. Tracking of space debris using sequential estimation

  • Sanat K. Biswas

    received a Bachelor of Engineering, Instrumentation and Electronics from Jadavpur University, Master of Technology, Aerospace Engineering from the Indian Institution of Technology Bombay and a PhD, Electrical Engineering and Telecommunication from The University of New South Wales, Sydney, Australia in 2017. Currently, Dr. Biswas is an Assistant Professor at the Indraprastha Institute of Information Technology Delhi (IIIT Delhi). Dr. Biswas is currently doing research for SDR-based GNSS/NavIC reectometry receiver development for Earth Observation missions, Dynamics Predictive Fast Particle Filter for GNSS interference Source tracking, and Precise Orbit Determination using GNSS observations for LEO satellite missions at IIIT Delhi on. He has been a member of the IEEE Control Systems Society, IEEE Aerospace and Electronic Systems Society, IEEE Geo-science and Remote Sensing Society, Aeronautical Society of India, Indian Radio Science Society and Automatic Control and Dynamic Optimization Society.

  • Andrew G. Dempster
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