Robust UWB Indoor Localization for NLOS Scenes via Learning Spatial-Temporal Features-Reference-Cited by-同舟云学术

Robust UWB Indoor Localization for NLOS Scenes via Learning Spatial-Temporal Features

Author:

Yang Bo¹^ORCID,Li Jun²^ORCID,Shao Zhanpeng³^ORCID,Zhang Hong⁴^ORCID

Affiliation:

1. School of Artificial Intelligence, Nanjing University of Information Science & Technology, Nanjing, China

2. School of Computer and Electronic Information, Nanjing Normal University, Nanjing, China

3. College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China

4. Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China

Funder

National Natural Science Foundation of China

Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology

Jiangsu Provincial Double-Innovation Doctor Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

Reference35 articles.

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3. Batch normalization: Accelerating deep network training by reducing internal covariate shift;ioffe;Proc Int Conf Mach Learn,2015

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