دانلود کتاب سیستم‌های رادار شناختی نسل بعدی

The title of this book was initially “Beyond Cognitive Radar.” But, on advice and further discussions, we changed it to “Next-Generation Cognitive Radar Systems.” This title, in essence, captures the ongoing frenetic research on various theoretical questions and enabling technologies for cognitive radars. During the past two decades, introducing cognition in radar has heralded a new era of radar system design and engineering. These systems offer advanced sensing capabilities by simultaneously optimizing both transmit and receive processing in response to the changes in the target environment. Research on cognitive radars have revealed unique opportunities in a variety of civilian and defence applications by affording greater control of transmitters and higher adaptability of receivers than their non-cognitive counterparts. At the heart of cognitive radar lies the key question: if a radar is embodied with a reasonable cognitive model, would it interact with targets and other entities with cognition like that of a human. This requires understanding the cognitive model of humans themselves, which is an active neurobiological research area of its own. In general, Benjamin Bloom’s taxonomy proposed in 1950s and its variants are considered benchmarks for classifying various human cognitive abilities. Cognition in wireless systems itself falls under the broad umbrella if cognitive cyberphysical systems, wherein a machine is equipped with a human-like cognitive capabilities that provides the basis for human–machine interactions. While it is difficult to trace the origin of the term “cognitive systems,” its closest counterpart “cybernetics” was coined by NorbertWeiner in 1948. Hollnagel andWoods were the first to describe cognitive systems in detail in their 1983 paper “Cognitive Systems Engineering: New Wine in New Bottles” published in the journal International Journal of Man-Machine Studies. The term quickly gained currency eventually finding its way to cognitive radio in the 1999 paper “Cognitive Radio: Making Software Radios More Personal” by Mitola and Maguire that appeared in IEEE personal communications journal. Thereafter, initial developments in cognitive radars followed the ideas from cognitive radio literature of early 2000s. However, the obviously different application-specific requirements and design options led to the concept of cognitive radars as an independent and prolific research topic in mid-2000s. Simon Haykin’s landmark 2006 paper “Cognitive Radar: A Way of the Future” published in the IEEE Signal Processing Magazine, along with Joseph Guerci’s 2010 book “Cognitive Radar: The Knowledge-aided Fully Adaptive Approach” (second edition published in 2020), laid the conceptual groundwork for many preliminary applications. Today, with the proliferation of sensing to perform various tasks in many novel applications such as automotive radar, the target environments are no longer as benign as those considered in the early cognitive radars. Further, conventional cognitive radars face several challenges in not only making intelligent abstraction of received data in real-time but also adapting sensing techniques to a highly dynamic and complex environment. To address challenges beyond the conventional cognitive radars, there has been a surge of interest to enhance, enable, and engineer novel processing methods to achieve more complex levels of cognition. To equip radar practitioners with state-of-the-art tools for the next generation of highly sophisticated cognitive radar systems, we are delighted to edit this book published by the Institution of Engineering and Technology (IET) falls under the prestigious SciTech/IET series on Radar, Electromagnetics & Signal Processing Technologies. This book is aimed at bringing together contributions from leadingwellqualified researchers who are engaged in the forefront of research and development of next-generation cognitive abilities in radar engineering. There already exist several excellent books on cognitive radars (e.g., by Simon Haykin and Joseph Guerci), which provide insights on realizing optimized and adaptive behavior within the realm of classical cognition in radars. Given the significant developments and applications that have emerged in this area during the last 5 years— including the use of new tools/theories such as deep learning, sparse reconstruction, non-convex optimization, game theory, stochastic control, and quantum theory—the concept of cognition itself has been refined such that it now transcends Bloom’s classical cognition levels applied to radars so far. Hence, there is a need to put together the most significant and successful cognitive radars concepts in a tutorial fashion from the experts themselves who developed those results. The book goes beyond a high-level understanding of new concepts by including detailed empathetical treatment of each new cognitive method. This will aid researchers to develop a deep understanding of novel cognitive radar concepts and support relevant graduate courses. However, we do not foresee that the existing cognitive radar processing will disappear altogether. Rather, this book provides the mathematical machinery with applications where the conventional processing is inappropriate, unreliable, or inaccurate, and where we indeed need to look beyond the existing cognitive radar frameworks. The book complements the existing cognitive radar literature by assembling in-depth theory in a single reference, which also covers latest efforts in hardware prototyping. Some key concepts included beyond classical cognition are metacognition, inverse cognition, meta-level and adversarial tracking, and quantum sensing. Some chapters dwell upon the applications of emerging processing paradigms such as deep learning, game theory, stochastic control, sparse reconstruction, and mathematical optimization. Finally, the book also highlights several future research directions. Our intention is that either chapter can be read independently, but that they also complement each other by examining emerging challenges for cognitive radar systems. Further, each chapter features recent advances in the theory and applications of advanced cognitive radar tools to address these challenges. While the chapters are sequenced to achieve these goals in a lucid mathematical manner, we impose no requirement that the chapters are read in a specific order. Yet if the reader finds it suitable to read the chapters in the order they appear, we will feel the book has achieved its purpose.