This book provides the definitive blueprint for designing and understanding the resilient, autonomous hardware capable of surviving the harshest environments in the universe.
As we venture into deep space beyond low-Earth orbit, space missions depend entirely on space electronics technology. The technological constraints of traditional electronics prevent proper adaptation to deep space requirements for extreme radiation conditions, wide temperature variations, long operational times without maintenance support, and delayed communication pathways. There is a growing need for next-generation space electronics to be robust and radiation-hardened while performing energy-efficient intelligent operations as highly autonomous systems. This book presents innovative space electronics that drive modern deep space expedition practices. It examines deep space electronics by discussing their radiation-resistant elements, intelligent systems, and quantum data exchange, together with next-level propulsion systems. Focusing on filling the need for advanced electronics that provide efficiency and resilience in deep space exploration, the book provides a solution for understanding the quickly changing realm of space electronics technology. Through real-world case studies and expert insights, this book provides operational knowledge about modern technologies to help readers construct dependable systems that support deep space investigation.
Table of Contents:
Preface xxiii
1 Space Electronics: A Primer and the Difficulties of Working in Low Earth Orbit 1
N. Sathish, Prasanth Aruchamy, Rajesh Kumar Dhanaraj and Abdelfateh Kerrouche
2 Hardening Electronics against Space Radiation: Strategies and Technologies 23
Manibharathi D., Deepthi P., Dhinakaran M. and Mahalakshmi R.
3 Low-Power and High-Efficiency Computing Architectures for Space Missions 53
T. Sathya, M. Parimala Devi, G. Raja and Sathishkumar V. E.
4 AI and Neuromorphic Computing for Autonomous Deep Space Operations 83
P. Ashok, S. Lakshmi Sridevi, K. Murali Krishna and Venkatesh Ramamurthy
5 Quantum Computing and Secure Communication for Space Exploration 109
Harikrishnan M. P., Arsha J. K., Shyama M. and Danilo Pelusi
6 Edge Computing and Distributed Processing for Spacecraft Systems 131
Princy K. T. M., Prasanth Aruchamy, S. Lavanya and Afizan Bin Azman
7 Hybrid Communication Systems for Deep Space: The Role of Optical, RF, and Quantum Technologies 147
Indhumathi G., Saranya G., Naveen Kumar R. and Raffaele Mascella
8 Energy Harvesting and Wireless Power Transfer Technologies for Space Systems 175
P. Arul, N. Sathish, G. Ayappan and Xiaozhi Gao
9 Advanced Imaging and Sensor Technologies for Deep Space Navigation 199
S.M. Mehzabeen, R. Kousalya, B. Sarala and Mariya Ouaissa
10 Cryogenic Electronics for Lunar and Deep Space Missions 229
G. Loganathan, S. Sivasakthiselvan, M. Palanivelan and Ahmed A. Elngar
11 Revolutionizing Fault Management with AI: From Detection to Self-Repair 247
P. Shree Nandhini, P. Rithika, M. Vinodhini and K. K. Devi Sowndarya
12 Robotics and Autonomous Systems for Planetary Exploration 261
K. Naresh Kumar Thapa, R. Krishnaprasanna, V. Yokesh and Weiwei Jiang
13 Flexible, Printed, and Wearable Electronics for Space Applications 293
V. Yokesh, B.P. Bhuvana, C.P. Koushik and Nouhaila El Koufi
14 3D Printing and Additive Manufacturing for On-Demand Space Electronics 327
G. Loganathan, S. Sivasakthiselvan, M. Palanivelan and Pham Chien Thang
15 Case Study on Electronics in the James Webb Space Telescope: Innovations and Challenges 351
Ravendra Kumar K., Sapna, Shilpa V. and Girish H.
16 Case Study on Overcoming Extreme Conditions on Mars with High-Tech Electronics and Sensing Systems in Rovers 367
R. Nagaraj, J. Logeswaran, Sri Dhivya Krishnan and P. Manjula
17 Future Trends in Space Electronics and the Road to Interstellar Exploration 391
V.C. Diniesh, Prabhakaran Abraham, N. Sathish and Mustafa Almahdi Algaet
References 410
Index 413
About the Author :
N. Sathish, PhD is an Assistant Professor in the Department of Electronics and Communication Engineering at the Sri Venkateswara College of Engineering, Chennai, India. He has published extensively in journals and international conferences and authored several book chapters. His research interests include wireless sensor networks, underwater communication, flying ad-hoc networks, embedded intelligence, artificial intelligence-enabled networking, and optimization techniques.
Prasanth Aruchamy, PhD is an Assistant Dean of Research and an Associate Professor at the Vel Tech Rangarajan Dr. Sagunthala Research and Development Institute of Science and Technology, Chennai, India. He has published 15 books and more than 45 research articles in international journals and conference proceedings, and holds ten patents at both the national and international levels. His research interests include the Internet of Things, machine learning, wireless sensor networks, medical image processing, and computer networks.
Rajesh Kumar Dhanaraj, PhD is a Professor at Symbiosis International University in Pune, India. He has authored and edited more than 120 books on advanced technologies and more than 250 research articles in international journals and conferences, and holds 27 patents. His research interests include applied AI, cyber-physical systems, and wireless sensor networks.
Nithya Rekha, PhD is an Associate Professor in the Department of Computer Science in the College of Computer and Information Sciences at Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia. She is the author of more than 50 peer-reviewed articles and holds six patents. Her research interests include mobile computing, artificial intelligence, the Internet of Things, deep learning, machine learning, and wireless networks.
Karthik Palani, PhD has more than 18 years of teaching experience in various engineering colleges. He has presented and published more than 50 articles in various international conferences, and holds four patents. His research interests include mobile communication, underwater communication, underwater sensor networks, image processing, and machine learning.
