Frequency-Domain Differential Interference Cancellation for Full-Duplex OFDM ISAC Systems

被引:2
|
作者
Duan, Baiyu [1 ,2 ]
Chen, Cong [1 ,2 ]
Pan, Wensheng [1 ,2 ]
Shen, Ying [1 ,2 ]
Liu, Ying [1 ,2 ]
Shao, Shihai [1 ,2 ]
机构
[1] Univ Elect Sci & Technol China, Natl Key Lab Wireless Commun, Chengdu 611731, Peoples R China
[2] Univ Elect Sci & Technol China, Lab Electromagnet Space Cognit & Intelligent Contr, Beijing 100089, Peoples R China
基金
中国国家自然科学基金;
关键词
OFDM; Interference cancellation; Interference; Sensors; Receivers; Frequency-domain analysis; Full-duplex system; Digital cancellation; integrated sensing and communications (ISAC); in-band full-duplex (IBFD); orthogonal frequency-division multiplexing (OFDM); JOINT COMMUNICATION; TECHNOLOGY; DESIGN;
D O I
10.1109/TVT.2024.3362400
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The application of in-band full-duplex (IBFD) integrated sensing and communications (ISAC) systems for higher spectral efficiency and lower sensing latency has received increasing interest in recent years. In the IBFD mode, however, the transmitted signal causes severe interference at the receiver. This paper proposes a novel low-complexity frequency-domain differential interference cancellation (F-DIC) scheme for IBFD orthogonal frequency-division multiplexing (OFDM) ISAC systems. Without the need for channel state information (CSI), the proposed F-DIC method cancels the static interference and extracts the moving target echo signals by leveraging the invariant property of the interference. After the residual interference evaluation of the proposed method, the interference cancellation ratio of the F-DIC scheme is analyzed, and a closed-form formula of the target detection probability under the Neyman-Pearson (NP) criterion for OFDM ISAC systems based on the proposed scheme is also derived. Simulation results show that the proposed F-DIC method with promising low computational complexity performs similarly compared with the conventional frequency-domain interference cancellation method based on least squares (LS) and recursive least squares (RLS) algorithms.
引用
收藏
页码:8615 / 8631
页数:17
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