ICASSP 2023accepted0 citations

Doppler-Coded Joint Division Multiple Access Waveform for Automotive MIMO Radar

Yanhua Wang, Qiubo Pei, Xueyao Hu, Jiamin Long, Hao Yu, Le Zheng

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.

BibTeX
@inproceedings{icassp2023_dopplercodedjoin,
  title = {Doppler-Coded Joint Division Multiple Access Waveform for Automotive MIMO Radar},
  author = {Yanhua Wang and Qiubo Pei and Xueyao Hu and Jiamin Long and Hao Yu and Le Zheng},
  booktitle = {ICASSP 2023},
  year = {2023}
}