@inproceedings{0e913a9378c04421ae756acd63f9b3f9,
title = "Doppler-Coded Joint Division Multiple Access Waveform for Automotive MIMO Radar",
abstract = "Slow-time coded waveforms are commonly used in automotive multiple-input multiple-output (MIMO) radar to achieve inter-channel spatial diversity. Typical waveforms, such as Doppler division multiple access (DDMA) and code division multiple access (CDMA), are known to suffer from Doppler ambiguity and high side lobes, respectively. In this paper, we propose a Doppler-coded joint division multiple access orthogonal waveform for automotive MIMO radar. The proposed waveform reduces the sidelobes and extends the unambiguous range of velocity by using unequal intervals for Doppler division as well. The corresponding signal processing framework is derived to correctly separate orthogonal signals. Both simulations and experimental results demonstrate the effectiveness of the proposed waveform.",
keywords = "CDMA, DDMA, MIMO radar, orthogonal waveform",
author = "Yanhua Wang and Qiubo Pei and Xueyao Hu and Jiamin Long and Hao Yu and Le Zheng",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023 ; Conference date: 04-06-2023 Through 10-06-2023",
year = "2023",
doi = "10.1109/ICASSP49357.2023.10096696",
language = "English",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings",
address = "United States",
}