Chirp Delay-Doppler Domain Modulation-Based Joint Communication and Radar for Autonomous Vehicles

Zhuoran Li; Zhen Gao; Sheng Chen; Dusit Niyato; Zhaocheng Wang; George K. Karagiannidis

doi:10.1109/TWC.2025.3646300

Chirp Delay-Doppler Domain Modulation-Based Joint Communication and Radar for Autonomous Vehicles

Zhuoran Li
, Zhen Gao^*
, Sheng Chen
, Dusit Niyato
, Zhaocheng Wang
, George K. Karagiannidis

^*此作品的通讯作者

Beijing Institute of Technology
BIT
Advanced Technology Research Institute (Jinan)
Yangtze Delta Region Academy of Bejing Institute of Technology
CEMEE State Key Laboratory
MIIT Key Laboratory of Complex-Field Intelligent Sensing
Ocean University of China
Nanyang Technological University
Tsinghua University
Aristotle University of Thessaloniki

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

This paper introduces a sensing-centric joint communication and millimeter-wave radar paradigm to facilitate collaboration among intelligent vehicles. We first propose a chirp waveform-based delay-Doppler quadrature amplitude modulation (DD-QAM) that modulates data across delay, Doppler, and amplitude dimensions. Building upon this modulation scheme, we derive its achievable rate to quantify the communication performance. We then introduce an extended Kalman filter-based scheme for four-dimensional (4D) parameter estimation in dynamic environments, enabling the active vehicles to accurately estimate orientation and tangential-velocity beyond traditional 4D radar systems. Furthermore, in terms of communication, we propose a dual-compensation-based demodulation and tracking scheme that allows the passive vehicles to effectively demodulate data without compromising their sensing functions. Simulation results underscore the feasibility and superior performance of our proposed methods, marking a significant advancement in the field of autonomous vehicles.

源语言	英语
页（从-至）	9128-9144
页数	17
期刊	IEEE Transactions on Wireless Communications
卷	25
DOI	https://doi.org/10.1109/TWC.2025.3646300
出版状态	已出版 - 2026
已对外发布	是

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@article{d38dcf2000444058b1b1332373d6c5c8,

title = "Chirp Delay-Doppler Domain Modulation-Based Joint Communication and Radar for Autonomous Vehicles",

abstract = "This paper introduces a sensing-centric joint communication and millimeter-wave radar paradigm to facilitate collaboration among intelligent vehicles. We first propose a chirp waveform-based delay-Doppler quadrature amplitude modulation (DD-QAM) that modulates data across delay, Doppler, and amplitude dimensions. Building upon this modulation scheme, we derive its achievable rate to quantify the communication performance. We then introduce an extended Kalman filter-based scheme for four-dimensional (4D) parameter estimation in dynamic environments, enabling the active vehicles to accurately estimate orientation and tangential-velocity beyond traditional 4D radar systems. Furthermore, in terms of communication, we propose a dual-compensation-based demodulation and tracking scheme that allows the passive vehicles to effectively demodulate data without compromising their sensing functions. Simulation results underscore the feasibility and superior performance of our proposed methods, marking a significant advancement in the field of autonomous vehicles.",

keywords = "Millimeter-wave, autonomous vehicles, integrated sensing and communications, joint communication and radar",

author = "Zhuoran Li and Zhen Gao and Sheng Chen and Dusit Niyato and Zhaocheng Wang and Karagiannidis, \{George K.\}",

note = "Publisher Copyright: {\textcopyright} 2002-2012 IEEE.",

year = "2026",

doi = "10.1109/TWC.2025.3646300",

language = "English",

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T1 - Chirp Delay-Doppler Domain Modulation-Based Joint Communication and Radar for Autonomous Vehicles

AU - Li, Zhuoran

AU - Gao, Zhen

AU - Chen, Sheng

AU - Niyato, Dusit

AU - Wang, Zhaocheng

AU - Karagiannidis, George K.

PY - 2026

Y1 - 2026

N2 - This paper introduces a sensing-centric joint communication and millimeter-wave radar paradigm to facilitate collaboration among intelligent vehicles. We first propose a chirp waveform-based delay-Doppler quadrature amplitude modulation (DD-QAM) that modulates data across delay, Doppler, and amplitude dimensions. Building upon this modulation scheme, we derive its achievable rate to quantify the communication performance. We then introduce an extended Kalman filter-based scheme for four-dimensional (4D) parameter estimation in dynamic environments, enabling the active vehicles to accurately estimate orientation and tangential-velocity beyond traditional 4D radar systems. Furthermore, in terms of communication, we propose a dual-compensation-based demodulation and tracking scheme that allows the passive vehicles to effectively demodulate data without compromising their sensing functions. Simulation results underscore the feasibility and superior performance of our proposed methods, marking a significant advancement in the field of autonomous vehicles.

AB - This paper introduces a sensing-centric joint communication and millimeter-wave radar paradigm to facilitate collaboration among intelligent vehicles. We first propose a chirp waveform-based delay-Doppler quadrature amplitude modulation (DD-QAM) that modulates data across delay, Doppler, and amplitude dimensions. Building upon this modulation scheme, we derive its achievable rate to quantify the communication performance. We then introduce an extended Kalman filter-based scheme for four-dimensional (4D) parameter estimation in dynamic environments, enabling the active vehicles to accurately estimate orientation and tangential-velocity beyond traditional 4D radar systems. Furthermore, in terms of communication, we propose a dual-compensation-based demodulation and tracking scheme that allows the passive vehicles to effectively demodulate data without compromising their sensing functions. Simulation results underscore the feasibility and superior performance of our proposed methods, marking a significant advancement in the field of autonomous vehicles.

KW - Millimeter-wave

KW - autonomous vehicles

KW - integrated sensing and communications

KW - joint communication and radar

UR - https://www.scopus.com/pages/publications/105026398718

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DO - 10.1109/TWC.2025.3646300

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SN - 1536-1276

VL - 25

SP - 9128

EP - 9144

JO - IEEE Transactions on Wireless Communications

JF - IEEE Transactions on Wireless Communications

ER -

Chirp Delay-Doppler Domain Modulation-Based Joint Communication and Radar for Autonomous Vehicles

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