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Micro-Doppler Radar and Its Applications - (Radar, Sonar and Navigation) (Hardcover)

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Highlights

  • This book covers the latest developments in radar micro-Doppler signatures and non-cooperative recognition of moving targets, for researchers and advanced students of radar systems.
  • Author(s): Francesco Fioranelli & Hugh Griffiths & Matthew Ritchie & Alessio Balleri
  • 424 Pages
  • Technology, Radar
  • Series Name: Radar, Sonar and Navigation

Description



About the Book



This book covers developments in radar micro-Doppler signatures and non-cooperative target recognition of moving targets including signatures of small drones and birds, automotive radar, passive radar for indoor applications, novel signal processing approaches using sparsity and deep learning, and Ultra Wide Band and FMCW radar chips.



Book Synopsis



This book covers the latest developments in radar micro-Doppler signatures and non-cooperative recognition of moving targets, for researchers and advanced students of radar systems. Micro-Doppler signatures is a very broad topic with applications in healthcare, security and surveillance. Edited by leading researchers in the field, the book consists of a series of chapters with contributions from different groups of authors who are international experts on their topics.

The following topics are covered: multistatic radar micro-Doppler; passive radar approaches for healthcare; sparsity-driven methods for micro-Doppler detection and classification; deep neural networks for radar micro-Doppler signature classification; classification of personnel for ground-based surveillance; multimodal sensing for assisted living using radar; micro-Doppler analysis of ballistic targets; small drones and bird signatures as emerging targets; hardware development and applications of portable FMCW radars; digital-IF CW Doppler radar and its contactless healthcare sensing; L1-norm principal component and discriminant analyses of micro-Doppler signatures for indoor human activity recognition; and micro-Doppler signature extraction and analysis for automotive application. Finally, the editors have written a concluding short chapter that brings together an overview of the field and discusses likely future trends.

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