Non-line-of-sight target tracking with improved recurrent extreme learning machine

Non-line-of-sight target tracking with improved recurrent extreme learning machine

Abstract Target tracking provides important location-based services in many applications. The main challenge of target tracking is to combat the severe degradation problem in Non-Line-of-Sight (NLOS) scenario. Most Deep Learning algorithms available in literature to address this issue belong to batc...

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Bibliographic Details
Main Author: Xiaofeng Yang
Format: Article
Language:English
Published: Springer 2023-07-01
Series:Complex & Intelligent Systems
Subjects:
Tracking
NLOS Mitigation
UWB
Online Sequential Learning
Online Access:https://doi.org/10.1007/s40747-023-01156-7

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