Noise Reduction via Low Rank Tensor Decomposition for MIMO ISAC Systems-Reference-Cited by-同舟云学术

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Noise Reduction via Low Rank Tensor Decomposition for MIMO ISAC Systems

Published:2023-12-04 Issue: Volume: Page:3891-3896
ISSN:
Container-title:GLOBECOM 2023 - 2023 IEEE Global Communications Conference
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Author:

Zhu Luoyan¹,Vorobyov Sergiy A.²,Liu Yinsheng¹,He Danping³,Zhong Zhangdui³

Affiliation:

1. School of Electronic and Information Engineering, Beijing Jiaotong University,Beijing,China,100044

2. Aalto University,Department of Information and Communication Engineering,Finland

3. Beijing Jiaotong University,State Key Laboratory of Rail Traffic Control and Safety,Beijing,China,100044

Funder

Fundamental Research Funds for the Central Universities

State Key Laboratory of Rail Traffic Control and Safety

Nsfc

Beijing Natural Science Foundation

Slovenian Research Agency

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10436708/10436716/10437883.pdf?arnumber=10437883

Reference12 articles.

1. Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond

2. A Bandwidth Efficient Dual-Function Radar Communication System Based on a MIMO Radar Using OFDM Waveforms

3. Transmit Beamspace DDMA Based Automotive MIMO Radar

4. Coordinated Transmit Beamforming for Multi-Antenna Network Integrated Sensing and Communication

5. Channel Nonstationarity and Consistency for Beyond 5G and 6G: A Survey

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