Dual-Functional Waveform Design with Local Sidelobe Suppression via OTFS Signaling

Kecheng ZHANG; Weijie YUAN; Pingzhi FAN; Xianbin WANG

doi:10.1109/TVT.2024.3395373

Dual-Functional Waveform Design with Local Sidelobe Suppression via OTFS Signaling

Kecheng ZHANG, Weijie YUAN, Pingzhi FAN, Xianbin WANG

Research output: Journal Publications › Journal Article (refereed) › peer-review

1 Citation (Scopus)

Abstract

Integrated sensing and communication (ISAC) is viewed as a key technology in future wireless networks. One of the main challenges in realizing ISAC is developing dual-functional waveforms that can communicate with communication receivers and perform radar sensing simultaneously. In this paper, we consider the joint design of a dual-functional orthogonal timefrequency space (OTFS) signal and a receiving filter for the ISAC system. The problem of ISAC waveform design is formulated as the minimization of the weighted integrated sidelobe level (WISL) of the ambiguity function and the interference term from ISAC waveform, with constraints on signal-to-noise ratio loss. The majorization-minimization algorithm combined with alternating iterative minimization is implemented to solve the optimization problem. Simulation results show that the WISL and the interference term can be significantly decreased to guarantee achievable data rates and detection performance.

Original language	English
Pages (from-to)	1-6
Number of pages	6
Journal	IEEE Transactions on Vehicular Technology
DOIs	https://doi.org/10.1109/TVT.2024.3395373
Publication status	E-pub ahead of print - 6 May 2024
Externally published	Yes

Bibliographical note

This work is supported in part by the National Natural Science Foundation of China under Grant 62101232, in part by Guangdong Provincial Natural Science Foundation under Grant 2022A1515011257, in part by Shenzhen Science and Technology Program under Grant JCYJ20220530114412029, and in part by the Shenzhen Key Laboratory of Robotics and Computer Vision (ZDSYS20220330160557001); the work of Pingzhi Fan was supported by NSFC project No.U23A20274.

Publisher Copyright:
IEEE

Keywords

Delays
Information filters
Integrated sensing and communication
Interference
majorization-minimization method
Optimization
OTFS
Radar
Sensors
Symbols
weighted integrated sidelobe level

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10.1109/TVT.2024.3395373

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title = "Dual-Functional Waveform Design with Local Sidelobe Suppression via OTFS Signaling",

abstract = "Integrated sensing and communication (ISAC) is viewed as a key technology in future wireless networks. One of the main challenges in realizing ISAC is developing dual-functional waveforms that can communicate with communication receivers and perform radar sensing simultaneously. In this paper, we consider the joint design of a dual-functional orthogonal timefrequency space (OTFS) signal and a receiving filter for the ISAC system. The problem of ISAC waveform design is formulated as the minimization of the weighted integrated sidelobe level (WISL) of the ambiguity function and the interference term from ISAC waveform, with constraints on signal-to-noise ratio loss. The majorization-minimization algorithm combined with alternating iterative minimization is implemented to solve the optimization problem. Simulation results show that the WISL and the interference term can be significantly decreased to guarantee achievable data rates and detection performance.",

keywords = "Delays, Information filters, Integrated sensing and communication, Interference, majorization-minimization method, Optimization, OTFS, Radar, Sensors, Symbols, weighted integrated sidelobe level",

author = "Kecheng ZHANG and Weijie YUAN and Pingzhi FAN and Xianbin WANG",

note = "This work is supported in part by the National Natural Science Foundation of China under Grant 62101232, in part by Guangdong Provincial Natural Science Foundation under Grant 2022A1515011257, in part by Shenzhen Science and Technology Program under Grant JCYJ20220530114412029, and in part by the Shenzhen Key Laboratory of Robotics and Computer Vision (ZDSYS20220330160557001); the work of Pingzhi Fan was supported by NSFC project No.U23A20274. Publisher Copyright: IEEE",

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AU - WANG, Xianbin

N1 - This work is supported in part by the National Natural Science Foundation of China under Grant 62101232, in part by Guangdong Provincial Natural Science Foundation under Grant 2022A1515011257, in part by Shenzhen Science and Technology Program under Grant JCYJ20220530114412029, and in part by the Shenzhen Key Laboratory of Robotics and Computer Vision (ZDSYS20220330160557001); the work of Pingzhi Fan was supported by NSFC project No.U23A20274. Publisher Copyright: IEEE

PY - 2024/5/6

Y1 - 2024/5/6

N2 - Integrated sensing and communication (ISAC) is viewed as a key technology in future wireless networks. One of the main challenges in realizing ISAC is developing dual-functional waveforms that can communicate with communication receivers and perform radar sensing simultaneously. In this paper, we consider the joint design of a dual-functional orthogonal timefrequency space (OTFS) signal and a receiving filter for the ISAC system. The problem of ISAC waveform design is formulated as the minimization of the weighted integrated sidelobe level (WISL) of the ambiguity function and the interference term from ISAC waveform, with constraints on signal-to-noise ratio loss. The majorization-minimization algorithm combined with alternating iterative minimization is implemented to solve the optimization problem. Simulation results show that the WISL and the interference term can be significantly decreased to guarantee achievable data rates and detection performance.

AB - Integrated sensing and communication (ISAC) is viewed as a key technology in future wireless networks. One of the main challenges in realizing ISAC is developing dual-functional waveforms that can communicate with communication receivers and perform radar sensing simultaneously. In this paper, we consider the joint design of a dual-functional orthogonal timefrequency space (OTFS) signal and a receiving filter for the ISAC system. The problem of ISAC waveform design is formulated as the minimization of the weighted integrated sidelobe level (WISL) of the ambiguity function and the interference term from ISAC waveform, with constraints on signal-to-noise ratio loss. The majorization-minimization algorithm combined with alternating iterative minimization is implemented to solve the optimization problem. Simulation results show that the WISL and the interference term can be significantly decreased to guarantee achievable data rates and detection performance.

KW - Delays

KW - Information filters

KW - Integrated sensing and communication

KW - Interference

KW - majorization-minimization method

KW - Optimization

KW - OTFS

KW - Radar

KW - Sensors

KW - Symbols

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DO - 10.1109/TVT.2024.3395373

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JO - IEEE Transactions on Vehicular Technology

JF - IEEE Transactions on Vehicular Technology

ER -

Dual-Functional Waveform Design with Local Sidelobe Suppression via OTFS Signaling

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Keywords

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