Paper
28 March 2024 An improved target demodulation method based on DDMA-MIMO millimeter wave radar
Jiabin Wang, Jianjiang Zhou
Author Affiliations +
Proceedings Volume 13091, Fifteenth International Conference on Signal Processing Systems (ICSPS 2023); 130911E (2024) https://doi.org/10.1117/12.3023139
Event: Fifteenth International Conference on Signal Processing Systems (ICSPS 2023), 2023, Xi’an, China
Abstract
High-Performance Automotive Millimeter-Wave Radar usually uses Doppler Division Multiple Access (DDMA) to build virtual MIMO arrays. However, the DDMA approach leads to blurring of the radar velocity interval and severe antenna interference problems. In this paper, we analyze these two problems in the DDMA mode, and also propose an improved DDMA target demodulation method, which can efficiently identify the interference target and correctly estimate the velocity of the interference target by means of differentiating the Empty-band of two adjacent frames. Simulation experiments show that this method can effectively solve the interference problems arising from Empty-band demodulation, and has certain practical significance.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Jiabin Wang and Jianjiang Zhou "An improved target demodulation method based on DDMA-MIMO millimeter wave radar", Proc. SPIE 13091, Fifteenth International Conference on Signal Processing Systems (ICSPS 2023), 130911E (28 March 2024); https://doi.org/10.1117/12.3023139
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KEYWORDS
Antennas

Demodulation

Target detection

Radar

Signal detection

Signal processing

Doppler effect

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