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  • © 2018

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

Part of the book series: Springer Theses (Springer Theses)

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Table of contents (6 chapters)

  1. Front Matter

    Pages i-xx
  2. Introduction and Motivation

    • Michael Leigsnering
    Pages 1-8
  3. Fundamentals of Compressive Sensing

    • Michael Leigsnering
    Pages 9-19
  4. Signal Model

    • Michael Leigsnering
    Pages 21-37
  5. Sparsity-Based Multipath Exploitation

    • Michael Leigsnering
    Pages 39-76
  6. Mitigating Wall Effects and Uncertainties

    • Michael Leigsnering
    Pages 77-97
  7. Conclusions and Outlook

    • Michael Leigsnering
    Pages 99-103
  8. Back Matter

    Pages 105-108

About this book

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.

Authors and Affiliations

  • Signal Processing Group, Technische Universität Darmstadt, Darmstadt, Germany

    Michael Leigsnering

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access