Abstract | ||
---|---|---|
At present, the theory and algorithm of wireless indoor positioning systems have been widely researched. Some applications of these systems have been successfully used such as inventory management. Nevertheless, positioning using radio signals indoor is subject to multipath propagation and other causes. Therefore, how to determine the location accurately has been recognized as a difficult task. This paper focuses on one of the positioning methods called received signal strength indication(RSSI) in a Wireless Local Area Network(WLAN). To improve the positioning accuracy, we proposed a scheme which to estimate the distance between access point(AP) and mobile station(MS) using the average of pilot signal strength in frequency domain. We then propose another scheme to estimate the position of the MS based on the estimated distances. At last, the simulations results show that the proposed schemes has a higher degree accuracy compared with the conventional methods. |
Year | DOI | Venue |
---|---|---|
2015 | 10.1109/ISPACS.2015.7432818 | 2015 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) |
Keywords | Field | DocType |
WLAN,wireless indoor positioning system,radio signal,multipath propagation,received signal strength indication,RSSI,wireless local area network,positioning accuracy Improvement,access point,mobile station,pilot signal strength,frequency domain,MS position estimation | Multipath propagation,Hybrid positioning system,Wireless,Received signal strength indication,Computer science,Real-time computing,Artificial intelligence,Computer vision,Mobile station,Wi-Fi,Indoor positioning system,Pilot signal,Embedded system | Conference |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ye Tian | 1 | 2 | 0.71 |
Wenjian Wang | 2 | 137 | 17.90 |
Chang-Jun Ahn | 3 | 105 | 32.23 |
Tatsuya Omori | 4 | 14 | 4.91 |
Ken-ya Hashimoto | 5 | 19 | 7.86 |