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.