Mimo Radar Through the Wall Imaging Techniques

Open Access
Gebhardt, Evan Thomas
Graduate Program:
Electrical Engineering
Master of Science
Document Type:
Master Thesis
Date of Defense:
December 08, 2016
Committee Members:
  • Ram M Naraynan, Thesis Advisor
  • James K Breakall, Committee Member
  • Ram M Naraynan, Committee Member
  • Radar
  • Through-Wall-Radar
  • Wall Mitigation
  • Target Detection
  • SAR
  • MIMO
  • Virtual Array
There is a compelling need to both detect and localize targets through barriers. The ability to do this is advantageous for police, military, and search and rescue teams. Radar systems are capable of processing returns from targets through barriers where optical and thermal systems can fail. This thesis describes techniques for detecting and localizing targets through barriers. There is also a desire to minimize the size and complexity of the radar systems. This is because these radar systems are usually operated in hostile and harsh conditions. This need to reduce size and complexity leads to difficulties in localization and detection because cross range resolution can be a function of both aperture size and number of elements. These pitfalls can be overcome by well thought out imaging scenarios and signal processing techniques. By utilizing multiple views via a multiple-input-multiple-output (MIMO) radar configuration, data can be fused to create a clearer image about what is going on behind the barrier. This thesis addresses this technique as well as different mitigation techniques, such as a singular value decomposition of wavelet transform method to improve localization and detection of targets. A stepped frequency radar system was also utilized to detect moving targets through walls using Doppler shifts. Together, these techniques demonstrate methods that show a reduction in size and complexity of traditional through-wall radar systems while still providing accurate detection and localization.