Through-the-wall radar imaging (TWRI) allows police, fire and rescue personnel, first responders, and defense forces to detect, identify, classify, and track the whereabouts of humans and moving objects. Electromagnetic waves are considered the most effective at achieving this objective, yet advances in this multi-faceted and multi-disciplinary technology require taking phenomenological issues into consideration and must be based on a solid understanding of the intricacies of EM wave interactions with interior and exterior objects and structures.
Providing a broad overview of the myriad factors involved, namely size, weight, mobility, acquisition time, aperture distribution, power, bandwidth, standoff distance, and, most importantly, reliable performance and delivery of accurate information, Through-the-Wall Radar Imaging examines this technology from the algorithmic, modeling, experimentation, and system design perspectives. It begins with coverage of the electromagnetic properties of walls and building materials, and discusses techniques in the design of antenna elements and array configurations, beamforming concepts and issues, and the use of antenna array with collocated and distributed apertures.
Detailed chapters discuss several suitable waveforms inverse scattering approaches and revolve around the relevance of physical-based model approaches in TWRI along with theoretical and experimental research in 3D building tomography using microwave remote sensing, high-frequency asymptotic modeling methods, synthetic aperture radar (SAR) techniques, impulse radars, airborne radar imaging of multi-floor buildings strategies for target detection, and detection of concealed targets. The book concludes with a discussion of how the Doppler principle can be used to measure motion at a very fine level of detail.
The book provides a deep understanding of the challenges of TWRI, stressing its multidisciplinary and phenomenological nature. The breadth and depth of topics covered presents a highly detailed treatment of this potentially life-saving technology.
Wall Attenuation and Dispersion, A. Hussein Muqaibel, M.A. Alsunaidi, Nuruddeen M. Iya, and A. Safaai-Jazi
Antenna Elements, Arrays, and Systems for Through-the-Wall Radar Imaging, A. Hoorfar and A. Fathy
Beamforming for Through-the-Wall Radar Imaging, G. Alli and D. DiFilippo
Image and Localization of Behind-the-Wall Targets Using Collocated and Distributed Apertures, Y.D. Zhang and A. Hunt
Conventional and Emerging Waveforms for Detection and Imaging of Targets behind Walls, F. Ahmad and R.M. Narayanan
Inverse Scattering Approaches in Through-the-Wall Imaging, K. Sarabandi, M. Thiel, M. Dehmollaian, R. Solimene, and F. Soldovieri
Through-the-Wall Microwave Building Tomography, P.B. Weichman, E.M. Lavely, E.H. Hill III, and P. Zemany
Analytical Ray Methods for Through-the-Wall Radar Imaging, R.J. Burkholder, R.J. Marhefka, and J.L. Volakis
Synthetic Aperture Radar Techniques for Through-the-Wall Imaging, T. Dogaru and C. Le
Impulse SAR and Its Application for Through-the-Wall Detection and Identification of People and Weapons, J.Z. Tatoian
Through-the-Wall SAR for Characterization of Building Interior Structure Using Attributed Scattering Center Features, E. Ertin and R.L. Moses
Detection Approaches in Through-the-Wall Radar Imaging, C. Debes and A.M. Zoubir
Detection of Concealed Targets in Through-the-Wall Imaging, L. Crocco
Fast Acquisition and Compressive Sensing Techniques for Through-the-Wall Radar Imaging, M. Amin, Y-S. Yoon, and S. Kassam
Radar Micro-Doppler Signatures for Characterization of Human Motion, V.C. Chen, G.E. Smith, K. Woodbridge, and C.J. Baker
Dr. Moeness Amin is a professor in the Department of Electrical and Computer Engineering and the director of the Center for Advanced Communications for Villanova University. He has over 400 publications in the areas of wireless communications, time-frequency analysis, smart antennas, interference cancellation in broadband communication platforms, direction finding, GPS technologies, over-the-horizon radar, radar imaging, and channel equalizations.