A Novel Distance Estimation Algorithm for Bluetooth Devices Using RSSI

被引：0
|
作者：
Huang, Junhua [1 ]
Chai, Song [1 ]
Yang, Nan [1 ]
Liu, Liang [1 ]
机构：
[1] Fourth Part Ring Rd 16, Chengdu, Sichuan, Peoples R China
来源：
PROCEEDINGS OF THE 2017 2ND INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ARTIFICIAL INTELLIGENCE (CAAI 2017) | 2017年 / 134卷
关键词：
bluetooth; distance estimation; RSSI; median filter; Kalman fitler; ENVIRONMENT;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A lot of proximity related Bluetooth applications, such as Bluetooth indoor positioning/navigation and proximity detection, has emerged on market by using Received Signal Strength Index(RSSI). One of the key technology in these application is to estimate distance between Bluetooth devices. In this paper, a distance estimation algorithm is proposed for Bluetooth devices. The RSSI values are first processed using median filter, and then converted to distance values. Finally, Kalman filtering is applied to further reduce noise. Our experiments show that our algorithm has average accuracy of 0.1 similar to 0.4m.
引用
收藏
页码：379 / 381
页数：3
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