| Paper Abstract and Keywords |
| Presentation |
2021-10-28 10:30
[Poster Presentation]
A Study on An Object Detection Scheme Using Sequential Channel State Information in Wireless LAN Systems
Kazuki Noguchi, Osamu Muta (Kyushu Univ.), Tomoki Murakami, Shinya Otsuki (former NTT) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Various object detection schemes utilizing channel state information (CSI) in wireless local area network
(WLAN) systems such as IEEE802.11ac have been investigated recently. To obtain further detection performance
improvement, adopting a proper feature selection technique is important. In this presentation, we propose
a WLAN-based object detection scheme using sequential CSI, where concatenated CSI containing current and
previously obtained CSI data is utilized to characterize the object behavior. In addition, we also propose a frequency-
domain interleaved sampling method to reduce the data size while maintaining the object detection accuracy. In
this method, a part of subcarriers are selected in an interleaved manner and machine learning based object detection
algorithm is carried out to detect the target object, so that object detection accuracy can be much improved while
reducing the total data size of sequential CSI. In this presentation, we demonstrate the effectiveness of the proposed
approach through real-time experimental evaluations in an indoor environment scenario. Experimental results show
that the proposed approach is effective in improving the object detection accuracy while reducing the data size. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Object detection / channel state information / subcarrier selection / wireless LAN / / / / |
| Reference Info. |
IEICE Tech. Rep. |
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| Download PDF |
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| Conference Information |
| Committee |
MIKA |
| Conference Date |
2021-10-27 - 2021-10-29 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
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| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Wireless Communication Systems, etc. |
| Paper Information |
| Registration To |
MIKA |
| Conference Code |
2021-10-MIKA |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A Study on An Object Detection Scheme Using Sequential Channel State Information in Wireless LAN Systems |
| Sub Title (in English) |
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| Keyword(1) |
Object detection |
| Keyword(2) |
channel state information |
| Keyword(3) |
subcarrier selection |
| Keyword(4) |
wireless LAN |
| Keyword(5) |
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| 1st Author's Name |
Kazuki Noguchi |
| 1st Author's Affiliation |
Kyushu University (Kyushu Univ.) |
| 2nd Author's Name |
Osamu Muta |
| 2nd Author's Affiliation |
Kyushu University (Kyushu Univ.) |
| 3rd Author's Name |
Tomoki Murakami |
| 3rd Author's Affiliation |
NTT Corporation (former NTT) |
| 4th Author's Name |
Shinya Otsuki |
| 4th Author's Affiliation |
NTT Corporation (former NTT) |
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| Speaker |
Author-1 |
| Date Time |
2021-10-28 10:30:00 |
| Presentation Time |
60 minutes |
| Registration for |
MIKA |
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vol. |
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