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Provides 6 modules for the analysis of air defense systems.
This book constitutes a multidisciplinary introduction to the analysis of air defence systems. It supplies the tools to carry out independent analysis. Individual sections deal with threat missions, observability, manoeuvrability and vulnerability. With the support of several examples, the text illustrates 12 air defence process models. These models form the foundation for any air defence system analysis, covering initial detection to kill assessment.
This expertly-written reference provides a wealth of information on electronic intelligence (ELINT) analysis techniques with coverage of their applications, strengths, and limitations.
A distillation of technical material culled from key radar publications and conferences that have occurred over the past five years, this book provides access to the answers to common design problems with designer crib sheets. William Morchin has also written Airborne Early Warning Radar.
Target identification and other modern-day radar problems can't be solved by conventional radar technology -- but they can be solved with the ground-breaking signal processing and analysis methods presented in this unique, expertly authored book.
This book details the advantages of MFAR main parameter design and guides you through parameter and performance evaluation procedures. It presents practical design information on combinations of various radar functions, clutter conditions, multipath, and transmitted waveform design when Doppler filters adapted for clutter cancellation.
Here is a landmark radar reference that encompasses 25 years of critical radar recognition advances, and allows you fingertip access to information that has previously been unknown outside of Russia.
Offers detailed discussions of operating principles of helix and coupled-cavity traveling wave tubes, descriptions of RF interactions of electrons with electric fields, and the basic theories of electron bunching and traveling wave interactions.
This invaluable reference offers the most comprehensive introduction available to the concepts of multisensor data fusion. It introduces key algorithms, provides advice on their utilization, and raises issues associated with their implementation. With a diverse set of mathematical and heuristic techniques for combining data from multiple sources, the book shows how to implement a data fusion system, describes the process for algorithm selection, functional architectures and requirements for ancillary software, and illustrates man-machine interface requirements an database issues.