Sparsity-Based Multipath Exploitation for Through-the-Wall Radar Imaging

Nominated as an outstanding PhD thesis by the Technische Universität Darmstadt, Germany

Combines the fields of through-the-wall radar imaging and compressive sensing

Demonstrates how image quality can be improved by exploiting multipath and sparse reconstruction techniques

Reports on methods validated for both simulated and measured data

Nominated as Best Dissertation 2015 in Electrical Engineering and Information Technology by Vereinigung von Freunden der Technischen Universität zu Darmstadt e.V

Inhalt
Introduction and Motivation.- Fundamentals of Compressive Sensing.- Signal Model.- Sparsity-Based Multipath Exploitation.- Mitigating Wall Eects and Uncertainties.- Conclusions and Outlook.