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Direction-finding algorithms, once primarily associated with defense applications, are now gaining traction in the automotive sector and other civilian areas, especially in autonomous vehicles. This shift has been expedited by advanced silicon chips that integrate radar technology into a single system-on-a-chip. However, many skilled professionals struggle to understand these concepts due to the complexity of the existing body of knowledge, which often includes dense mathematical content. To address this challenge, this book clearly explains algorithms featuring precise figures, straightforward descriptions, and executable program code in C++ integrated with MATLAB. The six chapters are structured to build upon one another, offering the necessary background knowledge while comprehensively covering all essential mathematics creating a self-contained reference guide that practicing engineers can rely on. One significant challenge engineers often face is implementing algorithms in real-world situations. The book includes C code integrated with MATLAB for all the discussed algorithms to assist with this issue. This code can be compiled, executed, and tested, providing users with a practical tool to develop confidence in applying these concepts.
Sommario
History and Need.- Matrix Algebra & Transformations.- Time Difference of Arrival.- Subspace Methods.- Beam Steering Methods.- Direction Finding for Wideband Signals Case Studies.
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Venkata Rangarao Kaluri, PhD, is a Visiting Research Scholar with the Department of Computer Science and Engineering and the Institute for Cybersecurity and Digital Trust (ICDT) at The Ohio State University. From November 2020 to April 2022, he was a subject matter expert in image processing at Honeywell Inc., Mount Laurel, NJ. Before that, he was a consultant in the automotive sector at Tech Mahindra and served as a visiting scientist at the University of Hyderabad (UOH). His previous positions have included chief scientist at INEDA Systems, visiting professor at DIAT Pune, and consultant at GE India (oil and gas). Additionally, he holds roles as an Industrial Consultant and Professor Emeritus at JNTU-H, Chief Scientist at Tanla Solutions, and Vice President of Engineering at Sarayu Softech. He has also dedicated 23 years of service as a senior scientist to the Defence Research and Development Organisation (DRDO). he has been a visiting professor at various institutions, including IIT Delhi, a visiting scholar at Oklahoma State University, a visiting professor at IIIT Hyderabad, and a visiting scholar at Carnegie Mellon University. He holds an MS in Computer Science from the Indian Institute of Science (IISc), Bangalore, an MS in Electronic Warfare from the Naval Postgraduate School in Monterey, and a PhD from the Indian Institute of Technology Madras (IITM). He is a Life Senior Member of the IEEE and a Fellow of the IETE. He has received multiple awards, including Best Paper at the IEEE Radar Conference in 2011 and the IEEE Digital Avionics Conference in 2013. He has published 25 papers in IEEE journals and conferences.
Riassunto
Direction-finding algorithms, once primarily associated with defense applications, are now gaining traction in the automotive sector and other civilian areas, especially in autonomous vehicles. This shift has been expedited by advanced silicon chips that integrate radar technology into a single system-on-a-chip. However, many skilled professionals struggle to understand these concepts due to the complexity of the existing body of knowledge, which often includes dense mathematical content. To address this challenge, this book clearly explains algorithms featuring precise figures, straightforward descriptions, and executable program code in C++ integrated with MATLAB. The six chapters are structured to build upon one another, offering the necessary background knowledge while comprehensively covering all essential mathematics—creating a self-contained reference guide that practicing engineers can rely on. One significant challenge engineers often face is implementing algorithms in real-world situations. The book includes C code integrated with MATLAB for all the discussed algorithms to assist with this issue. This code can be compiled, executed, and tested, providing users with a practical tool to develop confidence in applying these concepts.
