Hybrid Location Algorithm of TDOA / AOA Based on Extended Kalman Filter-Reference-Cited by-同舟云学术

Hybrid Location Algorithm of TDOA / AOA Based on Extended Kalman Filter

Published:2021-10-13 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 21st International Conference on Communication Technology (ICCT)
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Author:

Jiang Huiyao¹,Zhang Kun¹,Shen Chong¹,Zhu Jia²,Xu Liwen³

Affiliation:

1. Hainan University,State Key Laboratory of Marine Resources Utilization in South China Sea,Haikou,Hainan,China,570228

2. College of Art, Hainan Tropical Ocean University,Sanya,Hainan,China,572022

3. School of Computer Science and Technology, Hainan Tropical Ocean University,Sanya,Hainan,China,572022

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9657830/9657831/09658015.pdf?arnumber=9658015

Reference14 articles.

1. Combining TDoA and AoA with a particle filter in an outdoor LoRaWAN network

2. TDOA/AOA based geolocation using Newton method under NLOS environment;lee;2016 IEEE International Conference on Cloud Computing and Big Data Analysis (ICCCBDA),0

3. Accurate 3D localisation of mobile target using single station with AOA - TDOA measurements[J];yuexin;IET Radar Sonar & Navigation,2020

4. TDOA / AOA Location Algorithm Based on EKF to Solve the Multi Solution Problem of TDOA [J];yang;Industrial Control Computer,2019

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