Micro-doppler radar and its applications
This book covers the latest developments in radar micro-Doppler signatures and noncooperative 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 le...
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| Other Authors: | , , , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Herts, United Kingdom :
The Institution of Engineering and Technology,
2020.
|
| Subjects: | |
| ISBN: | 9781785619342 1785619349 1523133457 9781523133451 9781785619335 1785619330 |
| Physical Description: | 1 online resource (xvii, 403 pages) : illustrations |
Cover
Table of contents
| LEADER | 04791cam a2200445 i 4500 | ||
|---|---|---|---|
| 001 | kn-on1197985889 | ||
| 003 | OCoLC | ||
| 005 | 20240717213016.0 | ||
| 006 | m o d | ||
| 007 | cr cn||||||||| | ||
| 008 | 200928t20202020enka ob 001 0 eng d | ||
| 040 | |a VLB |b eng |e rda |e pn |c VLB |d VLB |d OCLCF |d CUS |d SFB |d N$T |d OCLCO |d OCLCQ |d OCLCO |d K6U |d OCLCQ |d OCLCO |d OCLCL | ||
| 020 | |a 9781785619342 | ||
| 020 | |a 1785619349 | ||
| 020 | |a 1523133457 | ||
| 020 | |a 9781523133451 | ||
| 020 | |z 9781785619335 | ||
| 020 | |z 1785619330 | ||
| 035 | |a (OCoLC)1197985889 |z (OCoLC)1231613127 | ||
| 245 | 0 | 0 | |a Micro-doppler radar and its applications / |c edited by Francesco Fioranelli, Hugh Griffiths, Matthew Ritchie and Alessio Balleri. |
| 264 | 1 | |a Herts, United Kingdom : |b The Institution of Engineering and Technology, |c 2020. | |
| 264 | 4 | |c ©2020 | |
| 300 | |a 1 online resource (xvii, 403 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index (pages 395-403). | ||
| 505 | 0 | |a Multistatic radar micro-Doppler / Matthew Ritchie, Francesco Fioranelli and Hugh Griffiths -- Passive radar approaches for healthcare / Karl Woodbridge, Kevin Chetty, Qingchao Chen and Bo Tan -- Sparsity-driven methods for micro-Doppler detection and classification / Gang Li and Shobha Sundar Ram -- Deep neural networks for radar micro-Doppler signature classification / Sevgi Zubeyde Gurbuz and Moeness G. Amin -- Classification of personnel for ground-based surveillance / Ronny Harmanny, Lorenzo Cifola, Roeland Trommel and Philip van Dorn -- Multimodal sensing for assisted living using radar / Aman Shrestha, Haobo Li, Francesco Fioranelli and Julien Le Kernec -- Micro-Doppler analysis of ballistic targets / Adriano Rosario Persico, Carmine Clemente and John Soraghan -- Signatures of small drones and birds as emerging targets / Børge Torvik, Daniel Gusland and Karl Erik Olsen -- Hardware development and applications of portable FMCW radars / Zhengyu Peng, Changzhi Li, Roberto Gómez-Garcia and José-Maria Muñoz-Ferreras -- Digital-IF CW Doppler radar and its contactless healthcare sensing / Heng Zhao, Biao Xue, Li Zhang, Jiamin Yan, Hong Hong and Xiaohua Zhu -- L1-norm principal component and discriminant analyses of micro-Doppler signatures for indoor human activity recognition / Fauzia Ahmad and Panos P. Markopoulos -- Micro-Doppler signature extraction and analysis for automotive application / René Petervari, Fabio Giovanneschi and Maria A. González-Huici. | |
| 506 | |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty | ||
| 520 | |a This book covers the latest developments in radar micro-Doppler signatures and noncooperative 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. | ||
| 590 | |a Knovel |b Knovel (All titles) | ||
| 650 | 0 | |a Doppler radar. | |
| 655 | 7 | |a elektronické knihy |7 fd186907 |2 czenas | |
| 655 | 9 | |a electronic books |2 eczenas | |
| 700 | 1 | |a Fioranelli, Francesco, |e editor. | |
| 700 | 1 | |a Griffiths, H. |q (Hugh), |d 1956- |e editor. |1 https://id.oclc.org/worldcat/entity/E39PCjMg9wVxFT4CJMhTQhvgDq | |
| 700 | 1 | |a Ritchie, Matthew, |e editor. | |
| 700 | 1 | |a Balleri, Alessio, |e editor. | |
| 776 | 0 | 8 | |i Print version: |z 1785619330 |
| 856 | 4 | 0 | |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpMDRA0005/micro-doppler-radar?kpromoter=marc |y Full text |
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