| Title |
Improved Indoor Positioning Method Based On Csi |
| ID_Doc |
30721 |
| Authors |
Li X.; Zhu J. |
| Year |
2019 |
| Published |
Proceedings - 2019 International Conference on Intelligent Transportation, Big Data and Smart City, ICITBS 2019 |
| DOI |
http://dx.doi.org/10.1109/ICITBS.2019.00072 |
| Abstract |
Because of the multipath effect and time-varying during signal transmission, the accuracy and stability of the RSSI-based indoor positioning method are low. Therefore, we can solve this problem by obtaining fine grained channel state information (CSI). CSI is a radio frequency channel attribute on the orthogonal frequency division multiplexing subcarriers on the physical layer. It has high sensitivity and can reduce the influence of multipath and noise, but it still can not meet the needs of the people. In this paper, a proportional factor is introduced on the basis of the existing correlation coefficient method, and the distance ratio between the prediction point and the reference point is calculated according to the ratio factor, and then the position of the measuring points is predicted according to the coordinate and distance ratio. The simulation results show that the accuracy of the improved location is improved. © 2019 IEEE. |
| Author Keywords |
channel state information; correlation coefficient; CSI; Fingerprint location; indoor location; Proportionality factor |
