TY - JOUR
T1 - Doppler-Coded Joint Division Multiple Access Waveform for Automotive MIMO Radar
AU - Wang, Yanhua
AU - Pei, Qiubo
AU - Hu, Xueyao
AU - Long, Jiamin
AU - Yu, Hao
AU - Zheng, Le
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - CDMA
KW - DDMA
KW - MIMO radar
KW - orthogonal waveform
UR - http://www.scopus.com/inward/record.url?scp=85180407538&partnerID=8YFLogxK
U2 - 10.1109/ICASSP49357.2023.10096696
DO - 10.1109/ICASSP49357.2023.10096696
M3 - Conference article
AN - SCOPUS:85180407538
SN - 0736-7791
JO - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
JF - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
T2 - 48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023
Y2 - 4 June 2023 through 10 June 2023
ER -