Pulse-based ISAC: Data Recovery and Ranging Estimation for Multi-Path Fading Channels

Cai, Shusen; Chen, Li; Chen, Yunfei; Yin, Huarui; Wang, Weidong

Abstract

Pulse-based integrated sensing and communication (ISAC) systems have the advantages of high ranging resolution and strong resistance to self-interference, compared with continuous wave (CW) based systems. However, for pulse-based ISAC systems, multi-path channels pose various challenges to data recovery and ranging by providing diversity gain for data recovery but incurring the interference to the identification of the first path in ranging. In this paper, we design a pulse-based ISAC receiver for multi-path channels. The designed receiver can obtain the diversity gain by correlating the received signal with the estimated template signal. Meanwhile, it can detect the arrival of the first path by using a threshold detection method based on a constant false alarm rate (CFAR). Furthermore, we extend the pulse-based ISAC design to a low-resolution analog-to-digital converter (ADC) scenario. A low-cost receiver design is provided for the pulse-based ISAC system that can recover data and estimate range simultaneously considering the non-linear effect caused by the low-resolution ADC. Simulation results show that compared with the generalized maximum likelihood (GML) based receiver, the proposed full-resolution pulse-based ISAC receiver has 1dB signal-to-noise ratio (SNR) loss in bit error rate (BER) and almost the same mean squared error (MSE) performance with the significantly reduced computational complexity. Also, compared with the full-resolution ISAC receiver, the ISAC receiver with 3-level quantization incurs only 0.8dB SNR loss in BER and 1dB SNR loss in MSE.

Citation

Cai, S., Chen, L., Chen, Y., Yin, H., & Wang, W. (2023). Pulse-based ISAC: Data Recovery and Ranging Estimation for Multi-Path Fading Channels. IEEE Transactions on Communications, https://doi.org/10.1109/tcomm.2023.3277039

• Journal Article Type: Article
• Acceptance Date: Apr 20, 2023
• Online Publication Date: May 17, 2023
• Publication Date: 2023
• Deposit Date: Jun 6, 2023
• Publicly Available Date: Jun 6, 2023
• Journal: IEEE Transactions on Communications
• Print ISSN: 0090-6778
• Electronic ISSN: 1558-0857
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1109/tcomm.2023.3277039
• Public URL: https://durham-repository.worktribe.com/output/1170684