Adaptive radar detection and estimation

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J. Wiley, Apr 15, 1992 - Technology & Engineering - 473 pages
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Adaptive processing in a radar environment is necessary due to its inherently nonstable nature. A detailed mathematical treatment of the important issues in adaptive radar detection and estimation is offered. Since much of the material presented has not appeared in book form, you'll find this work fills an important gap in the known literature. Following an overview of the subject, contributors develop model-based techniques for the detection of radar targets in the presence of clutter; discuss minimum variance beamforming techniques; consider maximum likelihood bearing estimation in beamspace for an adaptive phased array radar; present an algorithm for angle-of-arrival estimation; and describe the method of multiple windows for spectrum estimation.

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About the author (1992)

Simon Haykin is the Director of the Cognitive Systems Laboratory at McMaster University, Canada. He is a pioneer in adaptive signal-processing, theory and applications in radar and communications, areas of research that have occupied much of his professional life. He is a Fellow of the IEEE and the Royal Society of Canada and is the recipient of the Henry Booker Gold Medal from URSI (2002), the Honorary Degree of Doctor of Technical Sciences from ETH Zentrum, Zurich (1999) and many other medals and prizes. In addition to the seminal journal papers 'Cognitive Radio' and 'Cognitive Radar', he has also written or co-written nearly 50 books including a number of best-selling textbooks in the fields of signal processing, communications, and neural networks and learning machines.

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