This highly-anticipated second edition of the bestselling Cognitive Radar: The Knowledge-Aided Fully Adaptive Approach, the first book on the subject, provides up-to-the-minute advances in the field of cognitive radar (CR). Adaptive waveform methods are discussed in detail, along with optimum resource allocation and radar scheduling. Chronicling the field of cognitive radar (CR), this cutting-edge resource provides an accessible introduction to the theory and applications of CR, and presents a comprehensive overview of the latest developments in this emerging area. It covers important breakthroughs in advanced radar systems, and offers new and powerful methods for combating difficult clutter environments. You find details on specific algorithmic and real-time high-performance embedded computing (HPEC) architectures. This practical book is supported with numerous examples that clarify key topics, and includes more than 370 equations.
Introduction; Optimum Multi-Input Multioutput (MIMO) Radar; Adaptive Multi-Input Multioutput (MIMO) Radar; Introduction to Knowledge-Aided (KA) Adaptive Radar; Putting It All Together; Optimum Radar Resource Allocation and Scheduling; Areas for Future Research.
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Joseph R. Guerci
has 35 years of advanced technology development experience in industrial, academic, and government settings, including a seven-year term with the Defense Advanced Research Projects Agency (DARPA). Guerci is a fellow of the IEEE, a recipient of the 2007 IEEE Warren D. White Award and the 2020 IEEE Dennis J. Picard Medal, and the author of several bestselling books.