Integrated Sensing and Communication Waveform Design With Sparse Vector Coding: Low Sidelobe and Ultra Reliability

• Published in: IEEE transactions on vehicular technology
• Main Authors: Zhang, Ruoyu, Shim, Byonghyo, Yuan, Weijie, Di Renzo, Marco, Dang, Xiaoyu, Wu, Wen
• Format: Journal Article
• Language: English
• Published: Institute of Electrical and Electronics Engineers 27.01.2022
• Subjects: Engineering Sciences; Signal and Image processing; waveform design; ambiguity function; sparse vector coding; ultra reliability; Integrated sensing and communication
• ISSN: 0018-9545
• DOI: 10.1109/TVT.2022.3146280

Integrated sensing and communication (ISAC) can provide efficient usage for both spectrum and hardware resources. A critical challenge, however, is to design the dualfunctional waveform for simultaneous radar sensing and communication. In this paper, we propose a sparse vector codingbased ISAC (SVC-ISAC) waveform to simultaneously provide low sidelobe for radar sensing and ultra reliability for communication transmission. The key idea of the proposed waveform is to embed the communication information into the support of one sparse vector and transmit a low-dimensional signal via the spreading codebook. We derive the closed-form expression of ambiguity function, and prove the low sidelobe along both delay and Doppler axes of the proposed SVC-ISAC waveform, regardless of the probability distribution of the transmitted bit stream. Meanwhile, the information decoding at the communication receiver is solved through support identification and sparse demapping. Simulation results demonstrate that the proposed waveform improves the reliability while consistently suppresses the sidelobe level.