Problem Solving 101 with Nicholas O’Donoughue

At Artech House, we ask our authors what problems their books can help readers solve. In this series, we share what our authors aim to do in their writing. Read on to find out what Nicholas O’Donoughue, who wrote Emitter Detection and Geolocation for Electronic Warfare had to say:

What are some problems your book can help readers solve?

  • Statistical formulation of classical and recent approaches to geolocation and direction finding.
  • Provide an intuitive and accurate understanding of the driving factors behind errors and performance of various methods.  Provide a solid mathematical foundation from which researchers can branch off to solve open problems in the field.
  • MATLAB code for all examples, figures, and algorithms.
  • Provide an easy point of departure for students and researchers to investigate performance of the algorithms, and compare against novel solutions, without the need to “reinvent the wheel,” and in a manner consistent with the formulations in the text.
  • Intuitive explanations of performance trends and bounds, consistent formulation across sections and chapters, and examples based on real-world applications.
  • Improved understanding on the part of the reader both of the formulations, but also of the reasons for choosing one algorithm over another, and reasonable performance expectations.

Please name the audiences at which this book is aimed. How will this audience use your book?

  • Early-career professionals working in the field of EW/Engineer/Electronic Warfare Engineer: Gain an understanding of EW geolocation concepts, provide sample implementations to aid in the development of more complex algorithms.
  • Faculty/Professor/Asst. Professor: As a textbook for a graduate level course in EE that on source localization or on estimation, particularly if interested in the practical side of Electronic Warfare.
  • Student/Graduate Student/Post-Doc: To provide the understanding and initial set of algorithms necessary to apply fundamental research on algorithms to concrete problems in EW.
  • EW Practitioners: Provide a better understanding and appreciation of the statistical theory behind how EW systems detect and geolocate threats, and their performance characteristics.

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