Indoor Location Method Based on RSSI Probability Distribution and CSI Modified Model
- Resource Type
- Conference
- Authors
- Zhang, Libiao; Wang, Bo; Xu, Yao; Liu, Jiayu; Jiang, Hui; Luo, Yu; Lin, Peng; Xu, Peng; Li, Dongsheng
- Source
- 2022 Global Conference on Robotics, Artificial Intelligence and Information Technology (GCRAIT) GCRAIT Robotics, Artificial Intelligence and Information Technology (GCRAIT), 2022 Global Conference on. :429-433 Jul, 2022
- Subject
- Computing and Processing
Location awareness
Wireless communication
Heuristic algorithms
Fingerprint recognition
Physical layer
Probability distribution
Stability analysis
indoor positioning
RSSI
CSI
- Language
Fingerprint matching is one of the mainstream indoor positioning methods based on wireless signals. In this paper., we extracted the RSSI probability distribution and CSI amplitude from RSSI and CSI respectively as signal fingerprints. The RSSI probability distribution and CSI modified model were established by integrating the two signal fingerprints., and an indoor localization method based on the RSSI probability distribution and CSI modified model was proposed. Experimental results show that the proposed method has better positioning accuracy and anti-noise ability than traditional fingerprint matching method., especially in complex indoor environment.