| Project/Area Number |
21K04044
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Multi-year Fund |
|---|
| Section | 一般 |
|---|
| Review Section |
Basic Section 21020:Communication and network engineering-related
|
|---|
| Research Institution | Kyushu Institute of Technology |
|---|
Principal Investigator |
レオナルドジュニア ラナンテ 九州工業大学, 大学院情報工学研究院, 研究員 (10649833)
|
|---|
| Project Period (FY) |
2021-04-01 – 2022-03-31
|
| Project Status |
Discontinued (Fiscal Year 2021)
|
| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2023: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Fiscal Year 2022: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2021: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
|
|---|
| Keywords | 802.11be WLAN / Joint Beamforming / WiFi Sensing / Wi-Fi Sensing / Multi-target Sensing / Device-Free Sensing |
|---|
| Outline of Research at the Start |
Multi Target Device-Free Sensing is a state of the art technology that can detect the presence of objects using radio waves without requiring the targets to be equipped by any device. While early research regarding Multi Target Device-Free Sensing has been demonstrated using ultra-wideband radars, the feasibility of using cheap and widely available Wi-Fi devices. This project is about the design, implementation, and standardization of Multi Target Device-Free Sensing by leveraging modern Wi-Fi digital beamforming capability.
|
| Outline of Annual Research Achievements |
For the F.Y. 2021, we have developed a platform capable of 4x4 Multiple Input Multiple Output (MIMO) as well as Multi-user with 2 users which will be used to implement the proposed Multi-target WiFi sensing project . The platform was built using multiple ADRV9009 FGPA with a ZCU102 RF daughterboards connected via Ethernet for board to board communication. Transmissions and receptions using the platform is done using a host PC running Matlab and connected to the FPGA board ethernet network.
Using the platform, we have tested its capability to perform real time WiFi sensing. Currently, the tests were done with a single transmitting device and a single receiving device. With this setup, a single WiFi target is sensed accurately. Using MIMO processing, we used multiple antennas from the receiver and measure the changes in the eigenvalues of the MIMO channel in order to detect human beings movement. The detection of the human beings were done using conventional artificial intelligence aided systems provided by a Matlab Toolbox. Our preliminary results show that single WiFi target can be easily sensed using the developed platform. In the future, the goal of this project is to provide a modified system that allows Wi-Fi sensing of multiple targets with similar accuracy as the single target one.
|
