Integrated Super-Resolution Sensing and Communication with 5G NR Waveform: Signal Processing with Uneven CPs and Experiments
Chaoyue Zhang, Zhiwen Zhou, Huizhi Wang, Yong Zeng

TL;DR
This paper introduces ISSAC, a novel integrated sensing and communication system using 5G NR waveforms and super-resolution algorithms, demonstrating high-resolution target parameter estimation despite uneven cyclic prefix lengths.
Contribution
The paper proposes ISSAC, combining super-resolution algorithms with 5G NR waveforms, and develops new techniques to mitigate uneven CP effects, validated through experiments.
Findings
High-resolution delay and Doppler estimation achieved with 5G NR waveforms.
Uneven CP lengths cause minimal performance degradation.
New algorithms improve super-resolution sensing in 5G systems.
Abstract
Integrated sensing and communication (ISAC) is a promising technology to simultaneously provide high-performance wireless communication and radar sensing services in future networks. In this paper, we propose the concept of \emph{integrated super-resolution sensing and communication} (ISSAC), which uses super-resolution algorithms in ISAC systems to achieve extreme sensing performance for those critical parameters, such as delay, Doppler, and angle of the sensing targets. Based on practical fifth generation (5G) New Radio (NR) waveforms, the signal processing techniques of ISSAC are investigated and prototyping experiments are performed to verify the achievable performance. To this end, we first study the effect of uneven cyclic prefix (CP) lengths of 5G NR orthogonal frequency division multiplexing (OFDM) waveforms on various sensing algorithms. Specifically, the performance of the…
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Taxonomy
TopicsAdvanced SAR Imaging Techniques · Sparse and Compressive Sensing Techniques · Optical Systems and Laser Technology
