Compressed Sensing and its Application in the Integrated 
Sensing and Communications

Nuo Chen; Jianwei Zhao; Weimin Jia; Jin Wei; Ye Yu

doi:10.70711/frim.v3i1.5876

Compressed Sensing and its Application in the Integrated Sensing and Communications

Nuo Chen, Jianwei Zhao, Weimin Jia, Jin Wei, Ye Yu

Abstract

Compressed sensing (CS) is a new signal processing mode for sparse signal compression and reconstruction. The integrated
sensing and communications (ISAC) is the key technology of sixth-generation (6G) in the future. CS has a lot of potential application
value and advantages in the direction of the ISAC, which will inject vitality into realizing more efficient and safer information processing. This paper expounds the basic concepts and typical steps of CS from the aspects of the ISAC background, basic theory and practical
application, and introduces the application of CS technology in spectrum sensing and utilization, channel state information acquisition,
positioning and navigation, data transmission and reception, etc. The effectiveness of CS in the direction of the ISAC is deeply discussed,
which provides solid support for the continuous expansion of related application fields and the continuous innovation and upgrade of communication technology.

Keywords

Compressed sensing; Integrated sensing and communications; Sparse signal

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References

[1] Zhu Han, Husheng Li, Wotao Yin. Compressive Sensing for Wireless Networks.

[2] Lin Yue-Wei, Zhang Qi-xun, Wei Zhi-Qing, Li Xingwang, Liu Fan, Fan Shao-Shuai, Wang Yi. Hardware Design of the ISAC: Current

Situation and Prospect [J]. Journal of Electronics and Information Technology, 1-21.

[3] Xin Xin. Research on millimeter Wave Hybrid beamforming technology for Mobile cellular Networks [D]. Beijing Jiaotong University,

2020.

[4] Wen G Q. A new CS model and its application in the Internet of Things [D]. Beijing University of Posts and Telecommunications, 2019.

(in Chinese)

[5] Wu Shouxia, Gao Xiaoyan. [5] Application of CS technology in future mobile communication system [J]. Communications World,

2014, (18):11-12.

[6] Zhao Weipeng. Research on CS sound source recognition method based on orthogonal matching tracking [D]. Xi 'an University of Technology, 2023.

[7] Tong M L. Research on broadband spectrum detection algorithm based on CS [D]. Hainan University, 2017. (in Chinese)

[8] Jiang Yong. Estimation method of covert transmission channel for network Communication based on CS Multiple Access [J]. Automation Technology and Application, 1-5.

[9] Tang Zhiyi. Research on CS Positioning Based on Antenna Design [D]. Zhejiang University, 2022.

[10] Zhu Jing, Chen Zhiyu, Liu Wenjing, Gao Jianxin, Liu Qingbo, Chen Siping, Yan Longchuan. Data Transmission bandwidth Optimization based on CS [A] Proceedings of the 13th Academic Conference of Power Communication Committee of the Chinese Society of

Electrical Engineering [C]. Power Communication Committee of the Chinese Society of Electrical Engineering, Editorial Department of

Telecommunication Science, Posts and Telecommunications Press, 202:4.

DOI: http://dx.doi.org/10.70711/frim.v3i1.5876

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