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Absolute Phase Measurements Using Off-the-Shelf Bluetooth Components

NOV
11
2020
11. NOV 2020

Lecture electronica Conferences > Wireless Congress > Session 7: Bluetooth

15:05-15:30 h | Virtual

The observation and the analysis of the distribution of an electromagnetic field within a wireless sensor network provide a huge amount of information about the surrounding environment. This leads to low-cost solutions for a variety of applications like e.g. indoor localization, traffic monitoring, person identification or behavioural recognition. There are two main quantities that describe the electromagnetic field with a fixed frequency at some point e.g. at a receiving antenna: The field strength (Received Signal Strength, RSS) and the phase of the incoming wave. The latter is much more sensitive for small environmental changes than the RSS. Unfortunately, while the RSS is recorded by nearly all commercial RF chips, the phase information is rarely available. For the ISM band it is possible to obtain the phase information out of the so called Channel State Information that is available in modern WiFi chipsets. However, due to the absence of a highly accurate synchronization between WiFi devices, the measured phase for two different packets may differ by a seemingly random offset. Hence, this information can not be utilized to observe the phase over time. In this contribution we present a technique that allows to measure the phase of some reflection components within a stationary wireless sensor network in an absolute manner without the need of precise synchronization between transmitter and receiver. The proposed method utilizes an antenna array at the receiver without special requirements to the transmitter. Since Bluetooth 5.1 introduced the possibility to control an antenna array with a compatible chipset, it is now possible to implement the suggested method by using low-cost and off-the-shelf BLE components. Possible applications include low-cost solutions for precise indoor localization or even monitoring the breathing frequency of a person nearby.

Subjects: Wireless

Speaker: Gerrit Maus (University of Wuppertal)

Type: Lecture

Speech: English

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The observation and the analysis of the distribution of an electromagnetic field within a wireless sensor network provide a huge amount of information about the surrounding environment. This leads to low-cost solutions for a variety of applications like e.g. indoor localization, traffic monitoring, person identification or behavioural recognition. There are two main quantities that describe the electromagnetic field with a fixed frequency at some point e.g. at a receiving antenna: The field strength (Received Signal Strength, RSS) and the phase of the incoming wave. The latter is much more sensitive for small environmental changes than the RSS. Unfortunately, while the RSS is recorded by nearly all commercial RF chips, the phase information is rarely available. For the ISM band it is possible to obtain the phase information out of the so called Channel State Information that is available in modern WiFi chipsets. However, due to the absence of a highly accurate synchronization between WiFi devices, the measured phase for two different packets may differ by a seemingly random offset. Hence, this information can not be utilized to observe the phase over time. In this contribution we present a technique that allows to measure the phase of some reflection components within a stationary wireless sensor network in an absolute manner without the need of precise synchronization between transmitter and receiver. The proposed method utilizes an antenna array at the receiver without special requirements to the transmitter. Since Bluetooth 5.1 introduced the possibility to control an antenna array with a compatible chipset, it is now possible to implement the suggested method by using low-cost and off-the-shelf BLE components. Possible applications include low-cost solutions for precise indoor localization or even monitoring the breathing frequency of a person nearby.

Gerrit Maus

Gerrit Maus

University of Wuppertal

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Gerrit Maus

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Eingang
Nord-West
ICM
Eingang
Nord
Eingang
West
Atrium
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Nord-Ost
Eingang
Ost
Conference
Center Nord
Freigelände
C1
C2
C3
C4
C5
C6
B0
B1
B2
B3
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B5
B6
A1
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A5
A6

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