We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
一种基于随机森林的 LOS / NLOS 基站识别方法.
- Authors
戢静红; 张振宇; 邓平
- Abstract
The cellular mobile communication environment is complex and volatile,and the Non-Line-ofSight(NLOS) propagation of radio waves inevitably occurs between base stations and mobile stations,which causes a significant increase in the distance measurement error between base stations and mobile stations and leads to a sharp decrease in localization performance. In order to accurately identify Line-of-Sight (LOS) and NLOS base station signals, a Random Forest-based LOS / NLOS base station identification method is proposed. By analyzing the correlations between the measured distances of mobile stations and each base station receiver and the localization errors,the LOS / NLOS measured distances are selected as features for classifier training, and then the classifier is used for the identification of LOS / NLOS base stations. Simulation results show that the correct recognition rate of NLOS base stations by the method reaches more than 90%,and better localization performance is achieved.
- Subjects
MEASUREMENT errors; RANDOM forest algorithms; MACHINE learning; RADIO waves; RADIO wave propagation
- Publication
Telecommunication Engineering, 2023, Vol 63, Issue 10, p1596
- ISSN
1001-893X
- Publication type
Article
- DOI
10.20079/j.issn.1001-893x.220320001