Distance Measurements in UWB-Radio Localization Systems Corrected with a Feedforward Neural Network Model
Abstract
An ultra-wideband (UWB) localization system is an alternative in a GPS-denied environment. However, a distance measurement with UWB modules using a two-way communication protocol induces an orientation-dependent error. Previous research studied this error by looking at parameters such as the received power and the channel response signal. In this paper, the neural network (NN) method for correcting the orientation-induced distance error without...
Paper Details
Title
Distance Measurements in UWB-Radio Localization Systems Corrected with a Feedforward Neural Network Model
Published Date
Mar 25, 2021
Journal
Volume
21
Issue
7
Pages
2294 - 2294
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