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Complementary Coded Scrambling RadCom System - An Integrated Radar and Communication Design in Multi-User-Multi-Target Scenarios
Radar, serving as a sensing technology, is anticipated to be integrated into the sixth-generation (6G) mobile communication system to facilitate high-precision sensing functions, potentially inciting spectrum competition between radar and wireless communication systems. To address this challenge, th...
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Published in: | IEEE transactions on vehicular technology 2024-01, Vol.73 (1), p.1-16 |
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Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | Radar, serving as a sensing technology, is anticipated to be integrated into the sixth-generation (6G) mobile communication system to facilitate high-precision sensing functions, potentially inciting spectrum competition between radar and wireless communication systems. To address this challenge, this study explores a code domain method for mitigating mutual interference caused by spectrum sharing between communication and radar systems. Particularly, this work designs a three-dimensional complementary scrambling code together with the transceiver structure that can simultaneously support communication and radar in a multi-user-multi-target scenario. The complementary scrambling code exhibits ideal correlation properties in both synchronous and asynchronous channels, seamlessly incorporating the time-frequency-space domain. The proposed scheme, referred to as the complementary coded scrambling radar and communication (CCS-RadCom) system, exhibits considerably higher spectral efficiency than that of the spread spectrum-based system due to the fact that it employs scrambling modulation to achieve processing gain. Additionally, this study conducts a joint evaluation of data rates and radar estimate rates. Simulation results indicate that the proposed system successfully achieves improved performance in terms of radar estimation rate and data rate. |
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ISSN: | 0018-9545 1939-9359 |
DOI: | 10.1109/TVT.2023.3301030 |