Amin - Radar for Indoor Monitoring: Detection, Classification, and Assessment

Radar for Indoor Monitoring

Radar for Indoor Monitoring

Detection, Classification, and Assessment

Edited by

Moeness G. Amin

CRC Press

Taylor & Francis Group

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2018 by Taylor & Francis Group, LLC

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Contents

Aboulnasr Hassanien and Braham Himed

aatay Tokgz and Nicholas C. Soldner

Shobha Sundar Ram, Sevgi Zubeyde Gurbuz, and Victor C. Chen

Yimin D. Zhang and Dominic K. C. Ho

Fok Hing Chi Tivive, Abdesselam Bouzerdoum, and Bijan G. Mobasseri

David Tahmoush, Fauzia Ahmad, Anthony Martone, Graeme E. Smith, and Zachary Cammenga

Traian Dogaru, Christopher Sentelle, Gianluca Gennarelli, and Francesco Soldovieri

Hugh Griffiths, Matthew Ritchie, and Francesco Fioranelli

Changzhan Gu, Tien-Yu Huang, Changzhi Li, and Jenshan Lin

Chi Xu and Jeffrey Krolik

Tomoaki Ohtsuki

Ann-Kathrin Seifert, Moeness G. Amin, and Abdelhak M. Zoubir

Huiyuan Zhou, Ram M. Narayanan, Ilangko Balasingham, and Rohit Chandra

Stefano Savazzi, Stephan Sigg, Monica Nicoli, Vittorio Rampa, Sanaz Kianoush, and Umberto Spagnolini

Fatih Erden and A. Enis Cetin

Radar has emerged as a leading technology supporting large sectors of commerce, defense, and security. Over the last decade, we have witnessed the birth of cognitive radar, medical and biometric radar, passive radar, automotive radar, and urban radar. These new applications add to the more established areas of over-the-horizon radar, ground-penetrating radar, and synthetic aperture radar. Irrespective of the application, the three primary goals in using radar are target detection, localization, and classification. These goals, respectively, address the following questions: Is there something there? If yes, then where is it and what is it?

This edited book captures a new and an exciting radar application that touches on our daily livingradar for indoor monitoring. The safety, reliability, and affordability of radar devices have made them a prime candidate for use inside office buildings, homes, schools, and hospitals, with the main purpose of monitoring regular and abnormal motion activities. Although radar imaging of stationary targets and background scenes, using physical and synthesized apertures, is a well-known and mature radar application, indoor radar sensing has heavily relied on Doppler frequencies stemming from the targets in motions.

Monitoring of human daily activities can be achieved using different sensing modalities, including cameras, acoustics, and infrared. Because of its preservation of privacy, insensitivity to light and heat, and penetration of many visually opaque objects, including walls, radar has presented itself as a viable alternative to existing contactless indoor monitoring technologies. The choice of radar parameters and system specifications depends on the monitoring objectives and the sensing missions. Whereas the resolution of moving targets in range requires the use of range-Doppler radar, antenna arrays or distributed radar apertures provide angle information and thus aid in target localization.

The timing of this book is motivated by recent advances in machine learning, sensor fusion, bistatic radars, and multiple-input multiple-output system configurations. It builds on the successful demonstrations of seeing through-the-wall radar technology over the past decade and is propelled by the vital role radar can play in the detection of falls, recognition of barometers of progressive disorders, and identification of markers of abnormal gait and breathing patterns. These attributes translate into reducing injuries, saving lives, improving health-care delivery, and cutting the costs of hospitalizations and home care.

The book strives to capture recent and important contributions to the area of indoor monitoring using radar. It consists of 15 chapters that cover various aspects of motion detection, localization, and classification. The chapters are written by leaders in this field and provide detailed explanations and demonstrations of the offerings of the electromagnetic sensing-based technology in the identification of human motion articulations and gross motor activities. Both continuous-wave and range-Doppler radars, with single- and multiantenna configurations, are considered. The book includes two introductory chapters ( offer alternative indoor sensing technologies based on wireless devices and infrared sensors.

I hope you find this book informative and useful to your research and pedagogy. I thank all authors for their excellent contributions, which include important analysis, and extensive simulations and experimentations.

Moeness G. Amin earned his PhD degree in electrical engineering from the University of Colorado, Boulder, Colorado in 1984. Since 1985, he has been with the Faculty of the Department of Electrical and Computer Engineering, Villanova University, Villanova, Pennsylvania, where he became the director of the Center for Advanced Communications, College of Engineering, in 2002.

Dr. Amin is a fellow of the Institute of Electrical and Electronics Engineers (IEEE); fellow of the International Society of Optical Engineering (SPIE); fellow of the Institute of Engineering and Technology (IET); and fellow of the European Association for Signal Processing (EURASIP). He is the recipient of the 2017 Fulbright Distinguished Chair in Advanced Science and Technology; the 2016 Alexander von Humboldt Research Award; the 2016 IET Achievement Medal; the 2014 IEEE Signal Processing Society Technical Achievement Award; the 2009 European Association for Signal Processing Individual Technical Achievement Award; the 2015 IEEE Aerospace and Electronic Systems Society Warren D White Award for