High-Precision Indoor Visible Light Positioning Using Modified Momentum Back Propagation Neural Network with Sparse Training Point

High-Precision Indoor Visible Light Positioning Using Modified Momentum Back Propagation Neural Network with Sparse Training Point

In this letter, we propose an indoor visible light positioning technique using a Modified Momentum Back-Propagation (MMBP) algorithm based on received signal strength (RSS) with sparse training data set. Unlike other neural network algorithms that require a large number of training data points to lo...

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Bibliographic Details
Main Authors: Haiqi Zhang, Jiahe Cui, Lihui Feng, Aiying Yang, Huichao Lv, Bo Lin, Heqing Huang
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Sensors
Subjects:
neural network
indoor visible light positioning
high accuracy
LED
Online Access:https://www.mdpi.com/1424-8220/19/10/2324

Internet

https://www.mdpi.com/1424-8220/19/10/2324

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