1st Edition

Compressive Sensing for Urban Radar

Edited By Moeness Amin Copyright 2015
    508 Pages 196 B/W Illustrations
    by CRC Press

    508 Pages 196 B/W Illustrations
    by CRC Press

    With the emergence of compressive sensing and sparse signal reconstruction, approaches to urban radar have shifted toward relaxed constraints on signal sampling schemes in time and space, and to effectively address logistic difficulties in data acquisition. Traditionally, these challenges have hindered high resolution imaging by restricting both bandwidth and aperture, and by imposing uniformity and bounds on sampling rates.

    Compressive Sensing for Urban Radar is the first book to focus on a hybrid of two key areas: compressive sensing and urban sensing. It explains how reliable imaging, tracking, and localization of indoor targets can be achieved using compressed observations that amount to a tiny percentage of the entire data volume. Capturing the latest and most important advances in the field, this state-of-the-art text:

    • Covers both ground-based and airborne synthetic aperture radar (SAR) and uses different signal waveforms
    • Demonstrates successful applications of compressive sensing for target detection and revealing building interiors
    • Describes problems facing urban radar and highlights sparse reconstruction techniques applicable to urban environments
    • Deals with both stationary and moving indoor targets in the presence of wall clutter and multipath exploitation
    • Provides numerous supporting examples using real data and computational electromagnetic modeling

    Featuring 13 chapters written by leading researchers and experts, Compressive Sensing for Urban Radar is a useful and authoritative reference for radar engineers and defense contractors, as well as a seminal work for graduate students and academia.

    Compressive Sensing Fundamentals
    Michael B. Wakin
    Colorado School of Mines, Golden, USA

    Overcomplete Dictionary Design for Sparse Reconstruction of Building Layout Mapping
    Wim van Rossum and Jacco de Wit
    Netherlands Organization for Applied Scientific Research (TNO), The Hague

    Compressive Sensing for Radar Imaging of Underground Targets
    Kyle R. Krueger, James H. McClellan, and Waymond R. Scott, Jr.
    Georgia Institute of Technology, Atlanta, USA

    Wall Clutter Mitigations for Compressive Imaging of Building Interiors
    Fauzia Ahmad
    Villanova University, Pennsylvania, USA

    Compressive Sensing for Urban Multipath Exploitation
    Michael Leigsnering and Abdelhak M. Zoubir
    Darmstadt University of Technology, Germany

    Compressive Sensing Kernel Design for Imaging of Urban Objects
    Nathan A. Goodman, Junhyeong Bae, and Yujie Gu
    The University of Oklahoma, Norman, USA

    Compressive Sensing for Multi-Polarization Through-Wall Radar Imaging
    Abdesselam Bouzerdoum, Jack Yang, and Fok Hing Chi Tivive
    University of Wollongong, New South Wales, Australia

    Sparsity-Aware Human Motion Indication
    Moeness G. Amin
    Villanova University, Pennsylvania, USA

    Time-Frequency Analysis of Micro-Doppler Signals based on Compressive Sensing
    Ljubisa Stankovic, Srdjan Stankovic, Irena Orovic, and Yimin D. Zhang
    University of Montenegro, Podgorica and Villanova University, Pennsylvania, USA

    Urban Target Tracking using Sparse Representations
    Phani Chavali and Arye Nehorai
    Washington University in St. Louis, Missouri, USA

    3D Imaging of Vehicles from Sparse Apertures in Urban Environment
    Emre Ertin
    The Ohio State University, Columbus, USA

    Compressive Sensing for MIMO Urban Radar
    Yao Yu and Athina Petropulu
    San Diego, California, USA and Rutgers, The State University of New Jersey, Piscataway, USA

    Compressive Sensing Meets Noise Radar
    Mahesh C. Shastry, Ram M. Narayanan, and Muralidhar Rangaswamy
    The Pennsylvania State University, State College, USA and Air Force Research Laboratory,
    Wright-Patterson Air Force Base, Ohio, USA


    Dr. Moeness G. Amin has been a faculty member of the Department of Electrical and Computer Engineering at Villanova University, Pennsylvania, USA for nearly 30 years. In 2002, he became the director of the Center for Advanced Communications, College of Engineering. Currently he is the chair of the Electrical Cluster of the Franklin Institute Committee on Science and the Arts, as well as an IEEE, SPIE, and IET fellow. The recipient of many prestigious awards, he has conducted extensive research in radar signal processing, authored over 650 journal and conference papers, and served as an editor for numerous publications.

    "The essential feature of this book is that it brings together the areas of compressive sensing and radar imaging for urban sensing. These areas of attributes are highly relevant to promote sustainability and for a range of civil and military applications, such as search and rescue missions, hostage rescue situations, urban design, and surveillance and reconnaissance in urban environments."
    —Fulvio Gini, University of Pisa, Italy