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- Seeing through walls using Wi-Fi
Technical Seminar On
Presented by:
Liju P Thomas
1HK10EC030
CONTENTS
Introduction.
Challenges faced in designing Wi-Vi
Flash Effect.
Tracking Human movements.
Methods used to overcome the challenges.
Implementation.
Results.
Advantages and limitations.
Applications
Conclusion and Future Scope
Wi-Vi
- Wireless Device
- Captures moving
objects behind the
wall
- Through Wall
Imaging
- Relatively Low
power
- Low Cost
- Low Bandwidth
- It is 3 antenna MIMO Device
- Two transmitting and one
receiving antenna.
- Limits itself to a 20 MHz-
wide Wi-Fi channel, and
avoids ultra-wide band
solutions
- Two modes of use:
- Image moving
objects behind the
wall
- Gesture based
interface
- Uses Wi-Fi signals
in ISM
band(2.4Ghz)
- Typically Wi-Fi
Hardware
INTRODUCTION
KEY IDEA
Wi-Vi
Device
Challenges Faced in Designing Wi-Vi
 Challenge #1: “Flash” Effect
 RF signals penetrate walls:
• Reflect off objects on other side of wall
• Distinguish reflectors by their arrival times
 At low bandwidth:
• Wall reflection much stronger than reflections coming from behind
the wall.
• Flash effect: wall reflection saturates the ADC
Challenges Faced in Designing Wi-Vi
 Challenge #2: Identifying and tracking Humans
Traditional System:Array of Spaced Antennas
 Previous attempts to track moving targets through
walls have done so using an array of spaced antennas.
 This would be too expensive and bulky.
Angle of Arrival
How Can We Eliminate the Wall’s Reflection?
 Wi-Vi uses interference nulling to cancel both the wall reflections and the direct signal
from the transmitting to the receiving antenna, hence increasing its sensitivity to the
reflections of interest.
NULLING TO REMOVE THE FLASH
 MIMO systems can pre-code their transmissions such that the signal received at a
particular antenna is cancelled.
 This property can be tailored to eliminate the flash effect as well as the direct signal from
the transmitting to the receiving antenna, thereby enabling Wi-Vi to capture the
reflections from objects of interest with minimal interference.
 At a high level, Wi-Vi’s nulling procedure can be divided into three phases:
• Initial nulling
• Power boosting
• Iterative nulling
Algorithm for Wi-Vi Nulling
h2
h1
px
X
y = h1‘ x + h2‘px
p = -h1’ / h2‘
Static objects (wall, furniture,
etc.) have constant channels
People move, therefore
their channels change
y = h1‘ x + h2‘(- h1‘/ h2‘)x y = H1
’ x + H2
’(- h1‘/ h2‘)x
Not Zero
0
MIMO Nulling
ISAR – Inverse Synthetic Aperture Radar
 Inverse synthetic aperture radar uses the movement of the target
to emulate an antenna array.
 In ISAR, there is only one receive antenna; hence, at any point in
time, we capture a single measurement. since the target is
moving, consecutive measurements in time emulate an inverse
antenna array – i.e., it is as if the moving human is imaging the
Wi-Vi device.
 By processing such consecutive measurements using standard
antenna array beam steering, Wi-Vi can identify the spatial
direction of the human.
How Can We track the movement of Humans?
Direction of
reflection
θ
Antenna Array
Tracking Motion
RF source
θ
Antenna Array
Direction of motion
At any point in time, we
have a single measurement
Tracking Motion
θ
Antenna Array
Direction of motion
θ
Direction
of motion
Tracking Motion
IMPLEMENTATION
USRPs connect to a
host computer through
a high-speed USB or
Gigabit Ethernet link,
Universal Software Radio Peripheral (USRP N210)
Products are open
source USRP models also
integrate the general
functionality of a host
computer with an
embedded processor
Commonly used by
research labs and
universities etc.
Comparatively
inexpensive
hardware platform
for software radio
Designed and sold
by Ettus Research
IMPLEMENTATION
MIMO nulling is
implemented directly
into the UHD driver, so
that it is performed in
real-time.
• LP0965 directional
antennas
• 3 USRP’s are
connected to an
external clock and
they act as one
MIMO system.
Application areas include:
 Wi-Fi
 Wi-Max
 S-band transceivers
 2.4 GHz ISM band
transceivers
Capable of MIMO
and provides upto
40 MHz bandwidth
Dual-band
operation
• Wide bandwidth
transceiver
• Power output: Upto
10mW
• Noise Figure: 5dB
SBX Transceiver
Wi-Vi Setup & Working
Any objects that the signals hit including the wall create identical
reflections, they too are cancelled out by this nulling effect.
Only those reflections that change between the two signals, such
as those from a moving object, arrive back at the receiver.
Tracking of 2 humans Tracking of 3 humans
 Tracking of multiple people can be done by Smoothed Music Algorithm.
 This algorithm computes w x w correlation matrix R[n]
 It then performs an Eigen decomposition of R[n] to remove the noise and keep
the strongest Eigen vectors, which in our case correspond to the few moving
humans, as well as the DC value.
 For a human to transmit a message to a computer wirelessly,
they typically has to carry a wireless device.
 Wi-Vi can enable a human who does not carry any wireless
device to communicate commands or short messages to a
receiver using simple gestures.
 Wi-Vi designates a pair of gestures as a ‘0’ bit and a ‘1’ bit.
 At this stage, Wi-Vi’s interface is still very basic, yet we
believe that future advances in through-wall technology can
render this interface more expressive.
Through-Wall Gesture-Based Communication
Gesture Encoding
Gestures as Angles:Gestures as detected by Wi-Vi:
Gesture Decoding
Output of matched filter: Decoded bits:
Accuracy of Gesture Decoding as a Function of Distance
Results of Wi-Vi
Using USRP N210
Detect movements behind opaque
structural obstructions
Wi-Vi device pointed at a closed room with 6” hollow walls
supported by steel frames can distinguish between 0, 1, 2,
and 3 moving humans in the room. Computed over 80 trials
with 8 human subjects, Wi-Vi achieves an accuracy of 100%,
100%,90%, and 85% respectively in each of these cases.
A single person sending gesture
based messages, Wi-Vi correctly
decodes all messages performed at
distances equal to or smaller than
5 meters.
The decoding accuracy decreases to 75% at distances
of 8 meters, and the device stops detecting gestures
beyond 9 meters.
It also removes clutter from all
static reflectors, rather than
just one wall.
This includes other walls in the
environments as well as
furniture inside and outside the
imaged room.
Advantages
 Wi-Vi is relatively a low-power, low-cost, low-
bandwidth, and accessible to average users.
 Wi-Vi requires only few MHz of bandwidth
and operates in the same range as Wi-Fi. It
operates in ISM band.
 Wi-Vi can perform through-wall imaging
without access to any device the other side of the
wall.
 Wi-Vi employs signals whose wavelengths are
12.5 cm.
 Extend human vision beyond the visible
electromagnetic range, allowing us to detect
objects in the dark or in smoke.
Limitations
 Display has very low resolution.
 We cannot detect humans behind
concrete walls thicker than 8".
 To achieve a narrow beam the human
needs to move by about 4 wavelengths
(i.e., about 50 cm).
Applications
Law Enforcement Emergency Situations
Personal Security Smart Sensing
ApplicationsUser Interface Design Intruder Detection
Gaming
Conclusion
 Wi-Vi, a wireless technology that uses Wi-Fi signals to detect moving
humans behind walls and in closed rooms. In contrast to previous
systems, which are targeted for the military, Wi-Vi enables small cheap
see-through-wall devices that operate in the ISM band, rendering them
feasible to the general public, without carrying any transmitting device.
Wi-Vi could be built into a Smartphone or a special handheld device.
Evolution of seeing humans through denser building material and with a
longer range.
High quality images.
Future Scope
REFERENCES
[1] Fadel Adib and Dina Katabi, "See through wall with WI-FI", Massachusetts
Institute of Technology. In ACM SIGCOMM, 2013.
[2] Q. Pu, S. Gupta, S. Gollakota, and S. Patel, "Whole-home gesture
recognition using wireless signals", University of Washington.
[3] T. Ralston, G. Charvat, and J. Peabody. “Real-time through-wall imaging
using an ultra-wideband multiple-input multiple-output (MIMO) phased
array radar system.” In IEEE ARRAY, 2010.
[4] “Advanced trends in wireless communication” Edited by Dr. Mutamed
Khatib
[5] "Seeing through walls"- MIT's Lincoln Laboratory, http://www.youtube.
com/watch?v=H5xmo7iJ7KA.
[6] www.people.csail.mit.edu/fadel/wivi
Wi Vi technology

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Wi Vi technology

  • 1. - Seeing through walls using Wi-Fi Technical Seminar On Presented by: Liju P Thomas 1HK10EC030
  • 2. CONTENTS Introduction. Challenges faced in designing Wi-Vi Flash Effect. Tracking Human movements. Methods used to overcome the challenges. Implementation. Results. Advantages and limitations. Applications Conclusion and Future Scope
  • 3. Wi-Vi - Wireless Device - Captures moving objects behind the wall - Through Wall Imaging - Relatively Low power - Low Cost - Low Bandwidth - It is 3 antenna MIMO Device - Two transmitting and one receiving antenna. - Limits itself to a 20 MHz- wide Wi-Fi channel, and avoids ultra-wide band solutions - Two modes of use: - Image moving objects behind the wall - Gesture based interface - Uses Wi-Fi signals in ISM band(2.4Ghz) - Typically Wi-Fi Hardware INTRODUCTION
  • 5. Challenges Faced in Designing Wi-Vi  Challenge #1: “Flash” Effect  RF signals penetrate walls: • Reflect off objects on other side of wall • Distinguish reflectors by their arrival times  At low bandwidth: • Wall reflection much stronger than reflections coming from behind the wall. • Flash effect: wall reflection saturates the ADC
  • 6. Challenges Faced in Designing Wi-Vi  Challenge #2: Identifying and tracking Humans Traditional System:Array of Spaced Antennas  Previous attempts to track moving targets through walls have done so using an array of spaced antennas.  This would be too expensive and bulky. Angle of Arrival
  • 7. How Can We Eliminate the Wall’s Reflection?  Wi-Vi uses interference nulling to cancel both the wall reflections and the direct signal from the transmitting to the receiving antenna, hence increasing its sensitivity to the reflections of interest. NULLING TO REMOVE THE FLASH  MIMO systems can pre-code their transmissions such that the signal received at a particular antenna is cancelled.  This property can be tailored to eliminate the flash effect as well as the direct signal from the transmitting to the receiving antenna, thereby enabling Wi-Vi to capture the reflections from objects of interest with minimal interference.  At a high level, Wi-Vi’s nulling procedure can be divided into three phases: • Initial nulling • Power boosting • Iterative nulling
  • 9. h2 h1 px X y = h1‘ x + h2‘px p = -h1’ / h2‘ Static objects (wall, furniture, etc.) have constant channels People move, therefore their channels change y = h1‘ x + h2‘(- h1‘/ h2‘)x y = H1 ’ x + H2 ’(- h1‘/ h2‘)x Not Zero 0 MIMO Nulling
  • 10. ISAR – Inverse Synthetic Aperture Radar  Inverse synthetic aperture radar uses the movement of the target to emulate an antenna array.  In ISAR, there is only one receive antenna; hence, at any point in time, we capture a single measurement. since the target is moving, consecutive measurements in time emulate an inverse antenna array – i.e., it is as if the moving human is imaging the Wi-Vi device.  By processing such consecutive measurements using standard antenna array beam steering, Wi-Vi can identify the spatial direction of the human. How Can We track the movement of Humans?
  • 12. θ Antenna Array Direction of motion At any point in time, we have a single measurement Tracking Motion
  • 13. θ Antenna Array Direction of motion θ Direction of motion Tracking Motion
  • 14. IMPLEMENTATION USRPs connect to a host computer through a high-speed USB or Gigabit Ethernet link, Universal Software Radio Peripheral (USRP N210) Products are open source USRP models also integrate the general functionality of a host computer with an embedded processor Commonly used by research labs and universities etc. Comparatively inexpensive hardware platform for software radio Designed and sold by Ettus Research
  • 15. IMPLEMENTATION MIMO nulling is implemented directly into the UHD driver, so that it is performed in real-time. • LP0965 directional antennas • 3 USRP’s are connected to an external clock and they act as one MIMO system. Application areas include:  Wi-Fi  Wi-Max  S-band transceivers  2.4 GHz ISM band transceivers Capable of MIMO and provides upto 40 MHz bandwidth Dual-band operation • Wide bandwidth transceiver • Power output: Upto 10mW • Noise Figure: 5dB SBX Transceiver
  • 16. Wi-Vi Setup & Working Any objects that the signals hit including the wall create identical reflections, they too are cancelled out by this nulling effect. Only those reflections that change between the two signals, such as those from a moving object, arrive back at the receiver.
  • 17. Tracking of 2 humans Tracking of 3 humans  Tracking of multiple people can be done by Smoothed Music Algorithm.  This algorithm computes w x w correlation matrix R[n]  It then performs an Eigen decomposition of R[n] to remove the noise and keep the strongest Eigen vectors, which in our case correspond to the few moving humans, as well as the DC value.
  • 18.
  • 19.  For a human to transmit a message to a computer wirelessly, they typically has to carry a wireless device.  Wi-Vi can enable a human who does not carry any wireless device to communicate commands or short messages to a receiver using simple gestures.  Wi-Vi designates a pair of gestures as a ‘0’ bit and a ‘1’ bit.  At this stage, Wi-Vi’s interface is still very basic, yet we believe that future advances in through-wall technology can render this interface more expressive. Through-Wall Gesture-Based Communication
  • 20. Gesture Encoding Gestures as Angles:Gestures as detected by Wi-Vi:
  • 21. Gesture Decoding Output of matched filter: Decoded bits: Accuracy of Gesture Decoding as a Function of Distance
  • 22. Results of Wi-Vi Using USRP N210 Detect movements behind opaque structural obstructions Wi-Vi device pointed at a closed room with 6” hollow walls supported by steel frames can distinguish between 0, 1, 2, and 3 moving humans in the room. Computed over 80 trials with 8 human subjects, Wi-Vi achieves an accuracy of 100%, 100%,90%, and 85% respectively in each of these cases. A single person sending gesture based messages, Wi-Vi correctly decodes all messages performed at distances equal to or smaller than 5 meters. The decoding accuracy decreases to 75% at distances of 8 meters, and the device stops detecting gestures beyond 9 meters. It also removes clutter from all static reflectors, rather than just one wall. This includes other walls in the environments as well as furniture inside and outside the imaged room.
  • 23. Advantages  Wi-Vi is relatively a low-power, low-cost, low- bandwidth, and accessible to average users.  Wi-Vi requires only few MHz of bandwidth and operates in the same range as Wi-Fi. It operates in ISM band.  Wi-Vi can perform through-wall imaging without access to any device the other side of the wall.  Wi-Vi employs signals whose wavelengths are 12.5 cm.  Extend human vision beyond the visible electromagnetic range, allowing us to detect objects in the dark or in smoke. Limitations  Display has very low resolution.  We cannot detect humans behind concrete walls thicker than 8".  To achieve a narrow beam the human needs to move by about 4 wavelengths (i.e., about 50 cm).
  • 24. Applications Law Enforcement Emergency Situations Personal Security Smart Sensing
  • 25. ApplicationsUser Interface Design Intruder Detection Gaming
  • 26. Conclusion  Wi-Vi, a wireless technology that uses Wi-Fi signals to detect moving humans behind walls and in closed rooms. In contrast to previous systems, which are targeted for the military, Wi-Vi enables small cheap see-through-wall devices that operate in the ISM band, rendering them feasible to the general public, without carrying any transmitting device. Wi-Vi could be built into a Smartphone or a special handheld device. Evolution of seeing humans through denser building material and with a longer range. High quality images. Future Scope
  • 27. REFERENCES [1] Fadel Adib and Dina Katabi, "See through wall with WI-FI", Massachusetts Institute of Technology. In ACM SIGCOMM, 2013. [2] Q. Pu, S. Gupta, S. Gollakota, and S. Patel, "Whole-home gesture recognition using wireless signals", University of Washington. [3] T. Ralston, G. Charvat, and J. Peabody. “Real-time through-wall imaging using an ultra-wideband multiple-input multiple-output (MIMO) phased array radar system.” In IEEE ARRAY, 2010. [4] “Advanced trends in wireless communication” Edited by Dr. Mutamed Khatib [5] "Seeing through walls"- MIT's Lincoln Laboratory, http://www.youtube. com/watch?v=H5xmo7iJ7KA. [6] www.people.csail.mit.edu/fadel/wivi

Editor's Notes

  1. Simple definition for Wi-Vi is, as a Wi-Fi signal is transmitted at a wall, a portion of the signal penetrates through it, reflecting off any humans on the other side. However, only a tiny fraction of the signal makes it through to the other room, with the rest being reflected by the wall, or by other objects.
  2. Of course, it’s not that simple. The biggest problem is: you have a wall. As a result, when you take a device, point it at a wall, and transmit Wi-Fi signals, a huge amount of reflection is going to come from the wall itself. In fact, the signal reflected off the wall is 10,000 to 100,000 times stronger than any reflection coming from behind the wall. Just to give you a feel of how bad this is. It’s like you’re looking at the sun and at the same time, you are trying to see something else in the scene; the sun will blind you from seeing all other reflections. In the same way, the wall’s reflection will blind the receiver and prevent it from detecting any signal coming from behind the wall. This is the first challenge. ..
  3. The second challenge is that, even when we get reflections from behind the wall, we will get reflections from everything in the environment: the chairs, tables, and so on. How can we tease out the person’s reflections from all of these reflections? And once we do that, how can we track a person based on these reflections.
  4. The first thing to note is that when the human reflects the signal, it’s as if he is the source of that signal. We know from wireless textbooks that if you want to track an RF source, you can do that using an antenna array. [animate]. By steering the beam of the array, we can find the direction of from which the signal is coming. [animate] Now, when a person moves, that direction would change, and we are able to track him.
  5. Clearly, we cannot build an antenna array on a small device. To address this challenge, we borrow a technique which has been traditionally used to map different planets from Earth. The technique uses the movement of the target to emulate an antenna array. So, what do I mean by that. [animate] We have only one receive antenna, which means that at any point in time, we have a single measurement. Nevertheless, the target is moving. [animate]
  6. This means that at different points in time, he is reflecting the signal from different points in space. [animate] If we consider all of these measurements together, it is as if the person is emulating an antenna array. [animate] Because consecutive measurements in time emulate an antenna array, we can use standard antenna array beam steering to identify the direction motion of a person.