Complementary Coded Scrambling RadCom System - An Integrated Radar and Communication Design in Multi-User-Multi-Target Scenarios

• Published in: IEEE transactions on vehicular technology 2024-01, Vol.73 (1), p.1-16
• Main Authors: Liu, Xiqing, Zhao, Linglan, Liu, Wenjing, Guo, Jichong, Yang, Yiran, Liu, Yujun, Peng, Mugen
• Format: Article
• Language: English
• Subjects: Codes; Communication; Complementary code; Data rate; Mobile communication systems; Radar; Radar antennas; Radar data; Radar equipment; Radar estimation rate; Radar signal processing; Receiving antennas; Scrambling; Scrambling (communication); Sensors; Spread spectrum; Transmitting antennas; Wireless communication systems
• ISSN: 0018-9545; 1939-9359
• DOI: 10.1109/TVT.2023.3301030

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.