SlideShare a Scribd company logo
This work was performed under the auspices of the 
U.S. Department of Energy by Lawrence Livermore 
National Laboratory under contract DE-AC52- 
07NA27344. 
Lawrence Livermore National Security, LLC 
Christine Paulson 
UWB Systems Engineer
 Search and Rescue 
• Find victims trapped in collapsed structures 
 Construction 
• Detect electrical wires, pipes, and concealed 
structures in walls, concrete and soil 
 SWAT team 
• Detect people and motion behind closed 
doors, and determine who is armed and who is 
a hostage 
 Military 
• Detect buried mines and hidden threats 
Lawrence Livermore National Laboratory LLNL-PRES-528611 
2 
© DC Comics
 UWB signal characteristics enable 
penetration of most walls, concrete, and soil 
 Detection of motion or 
distinct objects as small as a few 
centimeters in size 
Lawrence Livermore National Laboratory LLNL-PRES-528611 
3
 Precise range resolution (~cm) 
 Material penetration 
 Low-power 
 Small form factor 
 Low-circuit complexity compared 
to other radar technologies 
 Safe for use with humans and 
other electronic systems 
Lawrence Livermore National Laboratory LLNL-PRES-528611 
4 
 Cannot see through a solid sheet 
of metal 
 Not ideal for long range 
applications (> 50 feet)
 Very small, low power, low 
cost, minimal computation 
 Intrusion sensor, stud finder, 
auto backup sensor, medical 
triage sensor 
Lawrence Livermore National Laboratory LLNL-PRES-528611 
5
 Rich information content 
 Larger size, more power, 
more complex, embedded or 
offline computation 
 Subsurface imaging, projectile 
tracking, person tracking, 
hostage vs. hostile, buried 
landmine detection 
Lawrence Livermore National Laboratory LLNL-PRES-528611 
6
 Radar Camera Project 
• 48 element array 
• 15 – 25 foot range 
• FPGA based processor 
Lawrence Livermore National Laboratory LLNL-PRES-528611 
7 
Raw data 
(real time) 
Basic 
algorithm 
(20 fps) 
Advanced 
algorithm 
(4 fps)
Buried landmines 
Lawrence Livermore National Laboratory LLNL-PRES-528611 
8 
Study of detecting 
wires of various 
gauges 
Rebar 
Subsurface asphalt damage
Soil 
Sample 
Loss/ft 
(dB) 
Depth 
(ft) 
Sand 2 8 
Gravel 4 7 
Clay 10 5 
Top soil 16 5 
Dry soil 14 5 
Chicago 34 2 
50/50 9 5 
Metal Plastic (PE) 
3” plastic pipe buried at 1.3 feet 
3” plastic pipe buried at 2.6 feet 
Lawrence Livermore National Laboratory LLNL-PRES-528611 9
 Breadbox sized metallic 
object buried at 3, 6, and 
9 feet deep 
 iRadar array mounted on 
vehicle platform 
Lawrence Livermore National Laboratory LLNL-PRES-528611 
10 
1.0m 
1.6m 
2.8m 
3 feet 
6 feet 
9 feet
 HERMES bridge deck inspection 
 LANDMARC landmine detection 
 PERES high precision roadway scanning 
 JIEDDO buried threat detection system 
Lawrence Livermore National Laboratory LLNL-PRES-528611 
11
 iRadar integrated with Lidar, video, GPS and airborne radar 
 Human occupancy 
detected using 
emplaced iRadar 
Lawrence Livermore National Laboratory LLNL-PRES-528611 
12
 However, design space governed by real-world 
technology tradeoffs 
• Frequency selection: penetration depth vs. imaging resolution 
• Power: range and material penetration vs. battery life 
• Complexity: imaging capability and speed vs. computational 
horsepower 
 iRadar capabilities continue to improve with rapid 
semiconductor industry advancements 
• Increasingly wide-bandwidth, high-sensitivity radars 
• High-throughput embedded signal processors 
• Continuing algorithm research and development 
Lawrence Livermore National Laboratory LLNL-PRES-528611 
© DC Comics
Charity Follett 
follett2@llnl.gov 
Lawrence Livermore National Laboratory LLNL-PRES-528611 
14

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Ultra Wide Band Imaging Applications Using Impulse Radar (iRadar) by Christine Paulson

  • 1. This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under contract DE-AC52- 07NA27344. Lawrence Livermore National Security, LLC Christine Paulson UWB Systems Engineer
  • 2.  Search and Rescue • Find victims trapped in collapsed structures  Construction • Detect electrical wires, pipes, and concealed structures in walls, concrete and soil  SWAT team • Detect people and motion behind closed doors, and determine who is armed and who is a hostage  Military • Detect buried mines and hidden threats Lawrence Livermore National Laboratory LLNL-PRES-528611 2 © DC Comics
  • 3.  UWB signal characteristics enable penetration of most walls, concrete, and soil  Detection of motion or distinct objects as small as a few centimeters in size Lawrence Livermore National Laboratory LLNL-PRES-528611 3
  • 4.  Precise range resolution (~cm)  Material penetration  Low-power  Small form factor  Low-circuit complexity compared to other radar technologies  Safe for use with humans and other electronic systems Lawrence Livermore National Laboratory LLNL-PRES-528611 4  Cannot see through a solid sheet of metal  Not ideal for long range applications (> 50 feet)
  • 5.  Very small, low power, low cost, minimal computation  Intrusion sensor, stud finder, auto backup sensor, medical triage sensor Lawrence Livermore National Laboratory LLNL-PRES-528611 5
  • 6.  Rich information content  Larger size, more power, more complex, embedded or offline computation  Subsurface imaging, projectile tracking, person tracking, hostage vs. hostile, buried landmine detection Lawrence Livermore National Laboratory LLNL-PRES-528611 6
  • 7.  Radar Camera Project • 48 element array • 15 – 25 foot range • FPGA based processor Lawrence Livermore National Laboratory LLNL-PRES-528611 7 Raw data (real time) Basic algorithm (20 fps) Advanced algorithm (4 fps)
  • 8. Buried landmines Lawrence Livermore National Laboratory LLNL-PRES-528611 8 Study of detecting wires of various gauges Rebar Subsurface asphalt damage
  • 9. Soil Sample Loss/ft (dB) Depth (ft) Sand 2 8 Gravel 4 7 Clay 10 5 Top soil 16 5 Dry soil 14 5 Chicago 34 2 50/50 9 5 Metal Plastic (PE) 3” plastic pipe buried at 1.3 feet 3” plastic pipe buried at 2.6 feet Lawrence Livermore National Laboratory LLNL-PRES-528611 9
  • 10.  Breadbox sized metallic object buried at 3, 6, and 9 feet deep  iRadar array mounted on vehicle platform Lawrence Livermore National Laboratory LLNL-PRES-528611 10 1.0m 1.6m 2.8m 3 feet 6 feet 9 feet
  • 11.  HERMES bridge deck inspection  LANDMARC landmine detection  PERES high precision roadway scanning  JIEDDO buried threat detection system Lawrence Livermore National Laboratory LLNL-PRES-528611 11
  • 12.  iRadar integrated with Lidar, video, GPS and airborne radar  Human occupancy detected using emplaced iRadar Lawrence Livermore National Laboratory LLNL-PRES-528611 12
  • 13.  However, design space governed by real-world technology tradeoffs • Frequency selection: penetration depth vs. imaging resolution • Power: range and material penetration vs. battery life • Complexity: imaging capability and speed vs. computational horsepower  iRadar capabilities continue to improve with rapid semiconductor industry advancements • Increasingly wide-bandwidth, high-sensitivity radars • High-throughput embedded signal processors • Continuing algorithm research and development Lawrence Livermore National Laboratory LLNL-PRES-528611 © DC Comics
  • 14. Charity Follett follett2@llnl.gov Lawrence Livermore National Laboratory LLNL-PRES-528611 14