Waveform designs for joint radar-communication systems with OQAM-OFDM

Qiao Shi; Tianxian Zhang; Xianxiang Yu; Xinyu Liu; Inkyu Lee

doi:10.1016/j.sigpro.2022.108462

Waveform designs for joint radar-communication systems with OQAM-OFDM

Qiao Shi, Tianxian Zhang, Xianxiang Yu, Xinyu Liu, Inkyu Lee

Research output: Contribution to journal › Article › peer-review

17 Citations (Scopus)

Abstract

In this paper, we develop a joint radar-communication system with offset quadrature amplitude modulation based orthogonal frequency division multiplexing (OQAM-OFDM), which is capable of realizing the radar and communication functions simultaneously. We first introduce a unified received signal model for the radar and communication systems by taking the multipath effect into account. Then, we propose a method to achieve information demodulation and radar pulse compression at the same time. By analyzing the signal-to-noise ratio (SNR) for the radar operations and the communication individually, we solve an optimization model to maximize the radar SNR and the communication SNR by designing the transmitted sequence of the OQAM-OFDM. Since the optimization problem is NP-hard, we present a joint method involving both the cyclic algorithm and the alternating direction method of multipliers algorithm (CA-ADMM) to obtain a solution. Finally, numerical results verify superior performance of the proposed scheme.

Original language	English
Article number	108462
Journal	Signal Processing
Volume	195
DOIs	https://doi.org/10.1016/j.sigpro.2022.108462
Publication status	Published - 2022 Jun

Bibliographical note

Funding Information:
This work was supported in part by the National Natural Science Foundation of China under Grant 61971109, in part by the Chang Jiang Scholars Program, the GF Science and Technology Special Innovation Zone Project, in part by the Fundamental Research Funds of Central Universities under Grant ZYGX2020ZB031, and in part by the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (MSIT), Korea Government under Grants 2017R1A2B3012316.

Publisher Copyright:
© 2022

Keywords

Cyclic algorithm and the alternating direction method of multipliers algorithm (CA-ADMM)
Information demodulation
Offset quadrature amplitude modulation based orthogonal frequency division multiplexing (OQAM-OFDM)
Pulse compression
Radar-communication system
Signal-to-noise ratio (SNR)

ASJC Scopus subject areas

Control and Systems Engineering
Software
Signal Processing
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

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10.1016/j.sigpro.2022.108462

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title = "Waveform designs for joint radar-communication systems with OQAM-OFDM",

abstract = "In this paper, we develop a joint radar-communication system with offset quadrature amplitude modulation based orthogonal frequency division multiplexing (OQAM-OFDM), which is capable of realizing the radar and communication functions simultaneously. We first introduce a unified received signal model for the radar and communication systems by taking the multipath effect into account. Then, we propose a method to achieve information demodulation and radar pulse compression at the same time. By analyzing the signal-to-noise ratio (SNR) for the radar operations and the communication individually, we solve an optimization model to maximize the radar SNR and the communication SNR by designing the transmitted sequence of the OQAM-OFDM. Since the optimization problem is NP-hard, we present a joint method involving both the cyclic algorithm and the alternating direction method of multipliers algorithm (CA-ADMM) to obtain a solution. Finally, numerical results verify superior performance of the proposed scheme.",

keywords = "Cyclic algorithm and the alternating direction method of multipliers algorithm (CA-ADMM), Information demodulation, Offset quadrature amplitude modulation based orthogonal frequency division multiplexing (OQAM-OFDM), Pulse compression, Radar-communication system, Signal-to-noise ratio (SNR)",

author = "Qiao Shi and Tianxian Zhang and Xianxiang Yu and Xinyu Liu and Inkyu Lee",

note = "Funding Information: This work was supported in part by the National Natural Science Foundation of China under Grant 61971109, in part by the Chang Jiang Scholars Program, the GF Science and Technology Special Innovation Zone Project, in part by the Fundamental Research Funds of Central Universities under Grant ZYGX2020ZB031, and in part by the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (MSIT), Korea Government under Grants 2017R1A2B3012316. Publisher Copyright: {\textcopyright} 2022",

year = "2022",

month = jun,

doi = "10.1016/j.sigpro.2022.108462",

language = "English",

volume = "195",

journal = "Signal Processing",

issn = "0165-1684",

publisher = "Elsevier B.V.",

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T1 - Waveform designs for joint radar-communication systems with OQAM-OFDM

AU - Shi, Qiao

AU - Zhang, Tianxian

AU - Yu, Xianxiang

AU - Liu, Xinyu

AU - Lee, Inkyu

N1 - Funding Information: This work was supported in part by the National Natural Science Foundation of China under Grant 61971109, in part by the Chang Jiang Scholars Program, the GF Science and Technology Special Innovation Zone Project, in part by the Fundamental Research Funds of Central Universities under Grant ZYGX2020ZB031, and in part by the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (MSIT), Korea Government under Grants 2017R1A2B3012316. Publisher Copyright: © 2022

PY - 2022/6

Y1 - 2022/6

N2 - In this paper, we develop a joint radar-communication system with offset quadrature amplitude modulation based orthogonal frequency division multiplexing (OQAM-OFDM), which is capable of realizing the radar and communication functions simultaneously. We first introduce a unified received signal model for the radar and communication systems by taking the multipath effect into account. Then, we propose a method to achieve information demodulation and radar pulse compression at the same time. By analyzing the signal-to-noise ratio (SNR) for the radar operations and the communication individually, we solve an optimization model to maximize the radar SNR and the communication SNR by designing the transmitted sequence of the OQAM-OFDM. Since the optimization problem is NP-hard, we present a joint method involving both the cyclic algorithm and the alternating direction method of multipliers algorithm (CA-ADMM) to obtain a solution. Finally, numerical results verify superior performance of the proposed scheme.

AB - In this paper, we develop a joint radar-communication system with offset quadrature amplitude modulation based orthogonal frequency division multiplexing (OQAM-OFDM), which is capable of realizing the radar and communication functions simultaneously. We first introduce a unified received signal model for the radar and communication systems by taking the multipath effect into account. Then, we propose a method to achieve information demodulation and radar pulse compression at the same time. By analyzing the signal-to-noise ratio (SNR) for the radar operations and the communication individually, we solve an optimization model to maximize the radar SNR and the communication SNR by designing the transmitted sequence of the OQAM-OFDM. Since the optimization problem is NP-hard, we present a joint method involving both the cyclic algorithm and the alternating direction method of multipliers algorithm (CA-ADMM) to obtain a solution. Finally, numerical results verify superior performance of the proposed scheme.

KW - Cyclic algorithm and the alternating direction method of multipliers algorithm (CA-ADMM)

KW - Information demodulation

KW - Offset quadrature amplitude modulation based orthogonal frequency division multiplexing (OQAM-OFDM)

KW - Pulse compression

KW - Radar-communication system

KW - Signal-to-noise ratio (SNR)

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DO - 10.1016/j.sigpro.2022.108462

M3 - Article

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SN - 0165-1684

VL - 195

JO - Signal Processing

JF - Signal Processing

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ER -

Waveform designs for joint radar-communication systems with OQAM-OFDM

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Keywords

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