| 大会名称 |
| 2016年 ソサイエティ大会 |
| 大会コ－ド |
| 2016S |
| 開催年 |
|
2016
|
| 発行日 |
|
2016-09-06
|
| セッション番号 |
|
B-17
|
| セッション名 |
|
スマート無線
|
| 講演日 |
|
2016/9/22
|
| 講演場所(会議室等) |
|
工学部 C棟 C212
|
| 講演番号 |
|
B-17-14
|
| タイトル |
|
Optimization of Sensor Layout for Localization utilizing Signal Strength Difference Fingerprints
|
| 著者名 |
|
○Azril Haniz, Gia Khanh Tran, Kei Sakaguchi, Jun-ichi Takada, Toshihiro Yamaguchi, Tsutomu Mitsui, Shintaro Arata,
|
| キーワード |
|
localization, fingerprint
|
| 抄録 |
|
In recent years, interest in wireless localization technologies has been growing extensively. There are several approaches to perform localization, and a popular approach is the fingerprinting method. RSS is a commonly used location fingerprint in literature, but many researchers have pointed out that these fingerprints may differ significantly depending on hardware utilized. Signal strength difference (SSD) fingerprints have been proposed to solve this issue. In this paper, the optimum layout of Rx sensors for the case of SSD fingerprints is obtained using numerical optimization techniques through computer simulations in order to minimize the mean distance error over a certain area.
|
| 本文pdf |
|
PDF download
|
