Indoor Localization Based on Semi-tensor Product Compression Sensing-Reference-Cited by-同舟云学术

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Indoor Localization Based on Semi-tensor Product Compression Sensing

Published:2022-11-04 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 10th Asia-Pacific Conference on Antennas and Propagation (APCAP)
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Author:

Lan Xin¹,Pu Qiaolin¹,Zhou Mu¹,Yang Xiaolong¹,Chen Youkun¹,Long Quan²,Fu Li³

Affiliation:

1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications,Chongqing,China,400065

2. Information Communication Branch of Chongqing Zhiwang Technology Co., Ltd

3. State Grid Chongqing Beibei Power Supply Company

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10068860/10068781/10069671.pdf?arnumber=10069671

Reference5 articles.

1. Multiple Target Localization Using Compressive Sensing

2. A Received Signal Strength Based Localization Approach for Multiple Target Nodes via Bayesian Compressive Sensing

3. Semi-tensor compressed sensing

4. Novel measurement matrix optimization for source localization based on compressive sensing

5. Data fusion of power and time measurements for mobile terminal location

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. Large Environment Indoor Localization Leveraging Semi-Tensor Product Compression Sensing;IEEE Internet of Things Journal;2023-10-01

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