Name
Abstract | ||
|---|---|---|
Indoor localization systems aim to accurately and cost-effectively locate targets. While numerous indoor localization solutions based on Wi-Fi, Bluetooth, ZigBee and other technologies have been proposed, they fail to achieve satisfactory performance. The accuracy of these solutions is often affected by obstacles such as shelf, human etc; due to the hight frequency of the signals, which weaken the ability of signals to penetrate obstacles. Moreover, high accuracy comes at the expense of more hardware, labor-expensive deployment. To overcome these limitations, we propose an indoor localization system based on Software Defined Radio (SDR), using FM and DVB-T signals. Our system achieves sub-meter accuracy at low cost with low site survey overhead. Additionally, we investigate the temporal and window effect on different sizes of training data. |
Year | Venue | Field |
|---|---|---|
2016 | 2016 13TH IEEE ANNUAL CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE (CCNC) | Training set,Software deployment,Wireless site survey,DVB-T,Computer science,Software-defined radio,Computer network,Localization system,Bluetooth |
DocType | Citations | PageRank |
Conference | 1 | 0.36 |
References | Authors | |
10 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Roberto Carvalho | 1 | 2 | 1.07 |
| Shan-Ho Yang | 2 | 1 | 0.36 |
| Yao Hua Ho | 3 | 84 | 13.79 |
| Ling-Jyh Chen | 4 | 759 | 78.81 |