Target Localization in ISAC System Based on BP Neural Network-Reference-Cited by-同舟云学术

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Target Localization in ISAC System Based on BP Neural Network

Published:2023-08-11 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Image Processing and Computer Applications (ICIPCA)
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Author:

He Hangchuan¹,Tang Yupeng²,Guo Wensheng³

Affiliation:

1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications,Chongqing,China

2. School of Electrical and Information Engineering, Yunnan Minzu University,Kunming,China

3. School of Information Engineering, Chang'an University,Xi'an,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10256676/10257667/10257773.pdf?arnumber=10257773

Reference13 articles.

1. WSN Location Method Based on BP Neural Network in NLOS Environment

2. Single Channel mmWave FMCW Radar for 2D Target Localization

3. LLOP localization algorithm with optimal scaling in NLOS wireless propagations;zheng;2013 IEEE 4th International Conference on Electronics Information and Emergency Communication,0

4. Joint Radar and Communication Design: Applications, State-of-the-Art, and the Road Ahead

5. Optimal Estimation and Fundamental Limits for Target Localization Using IMU/TOA Fusion Method

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. When Wireless Localization Meets Artificial Intelligence: Basics, Challenges, Synergies, and Prospects;Applied Sciences;2023-11-27

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