A New Localization Algorithm Based on Taylor Series Expansion for NLOS Environment

A New Localization Algorithm Based on Taylor Series Expansion for NLOS Environment

In Non-Line-Of-Sight (NLOS) environment, location accuracy of Taylorseries expansion location algorithm degrades greatly. A new Taylor-series expansion location algorithm based on self-adaptive Radial-Basis-Function (RBF) neural network is proposed in this paper, which can reduce the impact on the p...

Full description

Bibliographic Details
Main Authors: Ren Jin, Chen Jingxing, Bai Wenle
Format: Article
Language:English
Published: Sciendo 2016-10-01
Series:Cybernetics and Information Technologies
Subjects:
position location
nlos propagation
adaptive processing
rbf neural network
Online Access:https://doi.org/10.1515/cait-2016-0059

Internet

https://doi.org/10.1515/cait-2016-0059

Similar Items