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Wireless Localization Based on Deep Learning: State of Art and Challenges
- Source :
- Mathematical Problems in Engineering, Vol 2020 (2020)
- Publication Year :
- 2020
- Publisher :
- Hindawi Limited, 2020.
-
Abstract
- The problem of position estimation has always been widely discussed in the field of wireless communication. In recent years, deep learning technology is rapidly developing and attracting numerous applications. The high-dimension modeling capability of deep learning makes it possible to solve the localization problems under many nonideal scenarios which are hard to handle by classical models. Consequently, wireless localization based on deep learning has attracted extensive research during the last decade. The research and applications on wireless localization technology based on deep learning are reviewed in this paper. Typical deep learning models are summarized with emphasis on their inputs, outputs, and localization methods. Technical details helpful for enhancing localization ability are also mentioned. Finally, some problems worth further research are discussed.
- Subjects :
- business.industry
Computer science
General Mathematics
Deep learning
05 social sciences
General Engineering
050801 communication & media studies
02 engineering and technology
Engineering (General). Civil engineering (General)
Data science
Field (computer science)
0508 media and communications
0202 electrical engineering, electronic engineering, information engineering
State of art
QA1-939
Wireless
020201 artificial intelligence & image processing
Artificial intelligence
TA1-2040
business
Mathematics
Subjects
Details
- Language :
- English
- ISSN :
- 15635147
- Volume :
- 2020
- Database :
- OpenAIRE
- Journal :
- Mathematical Problems in Engineering
- Accession number :
- edsair.doi.dedup.....d7a21d44f29ae1624144b660169b24d8