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Sub-Nanosecond Time of Flight on Commercial Wi-Fi Cards

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The time-of-flight of a signal captures the time it takes to propagate from a transmitter to a receiver. Time-of-flight is perhaps the most intuitive method for localization using wireless signals. If one can accurately measure the time-of-flight from a transmitter, one can compute the transmitter's distance simply by multiplying the time-of-flight by the speed of light. Today, GPS, the most widely used outdoor localization system, localizes a device using the time-of-flight of radio signals from satellites. However, applying the same concept to indoor localization has proven difficult. Systems for localization in indoor spaces are expected to deliver high accuracy (e.g., a meter or less) using consumer-oriented technologies (e.g., Wi-Fi on one's cellphone). Unfortunately, past work could not measure time-of-flight at such an accuracy on Wi-Fi devices. As a result, over the years, research on accurate indoor positioning has moved towards more complex alternatives such as employing large multi-antenna arrays to compute the angle-of-arrival of the signal. These new techniques have delivered highly accurate indoor localization systems. Despite these advances, time-of-flight based localization has some of the basic desirable features that state-of-the-art indoor localization systems lack. In particular, measuring time-of-flight does not require more than a single antenna on the receiver. In fact, by measuring time-of-flight of a signal to just two antennas, a receiver can intersect the corresponding distances to locate its source. Thus, a receiver can locate a wireless transmitter with no support from the surrounding infrastructure. This is quite unlike current indoor localization systems, which require multiple access points at known locations, to find the distance between a pair of mobile devices. Furthermore, each of these access points need to have many antennas -- far beyond what is supported in commercial Wi-Fi devices. In this demo, we will present Chronos, a system that combines a set of novel algorithms to measure the time-of-flight to sub-nanosecond accuracy on commercial Wi-Fi cards. In particular, we will measure distance/time-of-flight between two devices equipped with commercial Wi-Fi cards, without any support from the infrastructure or environment fingerprinting.
Title: Sub-Nanosecond Time of Flight on Commercial Wi-Fi Cards
Description:
The time-of-flight of a signal captures the time it takes to propagate from a transmitter to a receiver.
Time-of-flight is perhaps the most intuitive method for localization using wireless signals.
If one can accurately measure the time-of-flight from a transmitter, one can compute the transmitter's distance simply by multiplying the time-of-flight by the speed of light.
Today, GPS, the most widely used outdoor localization system, localizes a device using the time-of-flight of radio signals from satellites.
However, applying the same concept to indoor localization has proven difficult.
Systems for localization in indoor spaces are expected to deliver high accuracy (e.
g.
, a meter or less) using consumer-oriented technologies (e.
g.
, Wi-Fi on one's cellphone).
Unfortunately, past work could not measure time-of-flight at such an accuracy on Wi-Fi devices.
As a result, over the years, research on accurate indoor positioning has moved towards more complex alternatives such as employing large multi-antenna arrays to compute the angle-of-arrival of the signal.
These new techniques have delivered highly accurate indoor localization systems.
Despite these advances, time-of-flight based localization has some of the basic desirable features that state-of-the-art indoor localization systems lack.
In particular, measuring time-of-flight does not require more than a single antenna on the receiver.
In fact, by measuring time-of-flight of a signal to just two antennas, a receiver can intersect the corresponding distances to locate its source.
Thus, a receiver can locate a wireless transmitter with no support from the surrounding infrastructure.
This is quite unlike current indoor localization systems, which require multiple access points at known locations, to find the distance between a pair of mobile devices.
Furthermore, each of these access points need to have many antennas -- far beyond what is supported in commercial Wi-Fi devices.
In this demo, we will present Chronos, a system that combines a set of novel algorithms to measure the time-of-flight to sub-nanosecond accuracy on commercial Wi-Fi cards.
In particular, we will measure distance/time-of-flight between two devices equipped with commercial Wi-Fi cards, without any support from the infrastructure or environment fingerprinting.

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