自动化学报（英文版）2022，Vol.9Issue(3)：496-509,14.DOI:10.1109/JAS.2021.1004356
Bayesian Multidimensional Scaling for Location Awareness in Hybrid-Internet of Underwater Things
Bayesian Multidimensional Scaling for Location Awareness in Hybrid-Internet of Underwater Things
Ruhul Amin Khalil 1Nasir Saeed 2Mohammad Inayatullah Babar 1Tariqullah Jan 1Sadia Din3
作者信息
- 1. Department of Electrical Engineering,Faculty of Electrical and Computer Engineering,University of Engineering and Technology,Peshawar 25120,Pakistan
- 2. Department of Electrical Engineering,Northern Border University,Arar 73222,Saudi Arabia
- 3. College of Science and Engineering,Hamad Bin Khalifa University,Doha 34110,Qatar
- 折叠
摘要
关键词
Bayesian multidimensional scaling (BMDS)/hybrid Cramer-Rao lower bound (H-CRLB)/internet of underwater things (IoUT)/signals of opportunity (SOA) approachKey words
Bayesian multidimensional scaling (BMDS)/hybrid Cramer-Rao lower bound (H-CRLB)/internet of underwater things (IoUT)/signals of opportunity (SOA) approach引用本文复制引用
Ruhul Amin Khalil,Nasir Saeed,Mohammad Inayatullah Babar,Tariqullah Jan,Sadia Din..Bayesian Multidimensional Scaling for Location Awareness in Hybrid-Internet of Underwater Things[J].自动化学报（英文版）,2022,9(3):496-509,14.
