Sparsity-Based Multipath Exploitation for Through-the-Wall Radar Imaging (Springer Theses)

Leigsnering, Michael

Springer International Publishing AG（2018/02発売）

• 製本 Hardcover:ハードカバー版／ページ数 108 p.
• 商品コード 9783319742823

Full Description

This thesis reports on sparsity-based multipath exploitation methods for through-the-wall radar imaging. Multipath creates ambiguities in the measurements provoking unwanted ghost targets in the image. This book describes sparse reconstruction methods that are not only suppressing the ghost targets, but using multipath to one's advantage. With adopting the compressive sensing principle, fewer measurements are required for image reconstruction as compared to conventional techniques. The book describes the development of a comprehensive signal model and some associated reconstruction methods that can deal with many relevant scenarios, such as clutter from building structures, secondary reflections from interior walls, as well as stationary and moving targets, in urban radar imaging. The described methods are evaluated here using simulated as well as measured data from semi-controlled laboratory experiments.

Contents

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