Paper Abstract and Keywords |
Presentation |
2023-07-28 14:50
Improving position estimation accuracy method by reducing RSSI fluctuations in BLE fingerprinting-based indoor positioning Jingshi Qian, Nobuyoshi Komuro (Chiba Univ.) CS2023-58 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The complex indoor environment will reflect and absorb the RSSI (Received Signal Strength Indicator) from the sensor. Because it is difficult to infer the location directly by signal strength, the position fingerprinting method is often used as an indoor positioning method. The general position fingerprinting method constructs a fingerprint database by recording the RSSI of each location in the room in advance and then compares the RSSI of the point to be located with the fingerprint database to estimate the location. However, because of the irregular indoor environment, the average value of RSSI usually has a large offset above and below the ideal decay curve. This leads to a relatively large error in the fingerprint database, which affects the accuracy of positioning. This study proposes a method to improve position estimation accuracy by reducing RSSI fluctuations for Machine Learning (ML)-based fingerprinting method. The proposed method fixes the RSSI offset caused by the environment before positioning using the BPNN (Back-Propagation Neural Network) algorithm. And for positioning stability, PF (Particle Filter) is introduced for post-processing. Experiments show that this method is effective in reducing the error by more than 10% for k-NN (k-Nearest Neighbors), BPNN, and SVR (Support Vector Regression). |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Position Fingerprinting Method / Received Signal Strength Indicator (RSSI) / Back-Propagation Neural Network (BPNN) / Bluetooth Low Energy (BLE) / Particle Filter / / / |
Reference Info. |
IEICE Tech. Rep., vol. 123, no. 137, CS2023-58, pp. 163-168, July 2023. |
Paper # |
CS2023-58 |
Date of Issue |
2023-07-20 (CS) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
Download PDF |
CS2023-58 |
Conference Information |
Committee |
CS |
Conference Date |
2023-07-27 - 2023-07-28 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Hachijo-machi Chamber of Commerce and Industry |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Next Generation Networks, Access Networks, Broadband Access, Power Line Communications, Wireless Communication Systems, Coding Systems, etc. |
Paper Information |
Registration To |
CS |
Conference Code |
2023-07-CS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Improving position estimation accuracy method by reducing RSSI fluctuations in BLE fingerprinting-based indoor positioning |
Sub Title (in English) |
|
Keyword(1) |
Position Fingerprinting Method |
Keyword(2) |
Received Signal Strength Indicator (RSSI) |
Keyword(3) |
Back-Propagation Neural Network (BPNN) |
Keyword(4) |
Bluetooth Low Energy (BLE) |
Keyword(5) |
Particle Filter |
Keyword(6) |
|
Keyword(7) |
|
Keyword(8) |
|
1st Author's Name |
Jingshi Qian |
1st Author's Affiliation |
Chiba University (Chiba Univ.) |
2nd Author's Name |
Nobuyoshi Komuro |
2nd Author's Affiliation |
Chiba University (Chiba Univ.) |
3rd Author's Name |
|
3rd Author's Affiliation |
() |
4th Author's Name |
|
4th Author's Affiliation |
() |
5th Author's Name |
|
5th Author's Affiliation |
() |
6th Author's Name |
|
6th Author's Affiliation |
() |
7th Author's Name |
|
7th Author's Affiliation |
() |
8th Author's Name |
|
8th Author's Affiliation |
() |
9th Author's Name |
|
9th Author's Affiliation |
() |
10th Author's Name |
|
10th Author's Affiliation |
() |
11th Author's Name |
|
11th Author's Affiliation |
() |
12th Author's Name |
|
12th Author's Affiliation |
() |
13th Author's Name |
|
13th Author's Affiliation |
() |
14th Author's Name |
|
14th Author's Affiliation |
() |
15th Author's Name |
|
15th Author's Affiliation |
() |
16th Author's Name |
|
16th Author's Affiliation |
() |
17th Author's Name |
|
17th Author's Affiliation |
() |
18th Author's Name |
|
18th Author's Affiliation |
() |
19th Author's Name |
|
19th Author's Affiliation |
() |
20th Author's Name |
|
20th Author's Affiliation |
() |
Speaker |
Author-1 |
Date Time |
2023-07-28 14:50:00 |
Presentation Time |
20 minutes |
Registration for |
CS |
Paper # |
CS2023-58 |
Volume (vol) |
vol.123 |
Number (no) |
no.137 |
Page |
pp.163-168 |
#Pages |
6 |
Date of Issue |
2023-07-20 (CS) |
|