Deep Learning Applications of Short-range Radars

Deep Learning Applications of Short-Range Radars

Deep Learning Applications of Short-Range Radars

Author: Avik Santra (Author), Souvik Hazra (Author)

Publisher finelybook 出版社:‏Artech House Publishers ‎

Edition 版本:‏ ‎ N/A

Publication Date 出版日期:‏ ‎ 2020-09-30

Language 语言: ‎ English

Print Length 页数: ‎ 337 pages

ISBN-10: ‎ 1630817465

ISBN-13: ‎ 9781630817466

Book Description

This exciting new resource covers various emerging applications of short range radars, including people counting and tracking, gesture sensing, human activity recognition, air-drawing, material classification, object classification, vital sensing by extracting features such as range-Doppler Images (RDI), range-cross range images, Doppler Spectrogram or directly feeding raw ADC data to the classifiers. The book also presents how deep learning architectures are replacing conventional radar signal processing pipelines enabling new applications and results. It describes how deep convolutional neural networks (DCNN), long-short term memory (LSTM), feedforward networks, regularization, optimization algorithms, connectionist temporal classification (CTC) are enabling these applications.

Readers gain in-depth knowledge of how deep learning is enabling solve emerging problems and also solving existing problems. New applications and problems in the field of radar are outlined. The book also provides transitions from conventional signal processing pipeline to machine/deep learning pipelines and explains how radars transition into industrial and consumer applications from aerospace and automotive applications.

Review

Whether you’re a working engineer, researcher or graduate student, this landmark text gives you a powerful headstart to the application of deep learning in short-range radars for consumer, automotive and industry applications. This book brings together all the radar algorithm basics you need to know to participate in this rapidly encreasing arena with its numerous applications to human activity recognition, air-writing, sensing and classification of people and materials based on highly-miniaturized millimeterwave radars. –Robert Weigel, Friedrich-Alexander-University Erlangen-Nuremberg, Germany

The book offers an updated review of short-range radar applications supported by the recent development in the manufacturing of compact mm-wave radar transceivers and the application of deep learning techniques to their data. Some more conventional applications of radar sensing such as human activity recognition and vital signs monitoring are presented, together with innovative applications such as the classification of materials and the recognition of characters written in air. These are a good example of new exciting capabilities unlocked by the combination of deep learning and short wavelengths enabled by the new mm-wave radar sensors. –Dr Francesco Fioranelli, Assistant Professor at the Department of Microelectronics, TU Delft, The Netherlands

Deep Learning Applications of Short-Range Radars gives an all-round view of radar, deep learning before diving into application specific practical considerations ranging from activity recognition to vitals sensing and to material classification. It encompasses insight and novel approaches throughout the book. I strongly recommend this book if you plan on tackling deep learning for short-range radar applications. –Julien Le Kernec, Ph.D., Senior Lecturer, The James Watt School of Engineering, University of Glasgow

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    这个链接可以发一下吗

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