TY - GEN
T1 - Multi-Dimensional Information Association of Vehicular MIMO Radar Based on Tracking Algorithm
AU - Huo, Jiawei
AU - Hu, Kun
AU - Song, Yue
AU - Li, Zhongyu
AU - Wu, Junjie
AU - Ren, Hang
AU - Deng, Huazeng
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In the application of vehicular MIMO (Multiple Input Multiple Output) radar, it is particularly important to measure and associate the position and velocity of targets. However, traditional methods like 3D-FFT have low angular resolution, and velocity ambiguity resolution is required. Combined with Super-resolution DOA (Direction Of Arrival) algorithm, we propose a multi-dimensional information association method based on target tracking, which uses the labeled GM-PHD (Gaussian Mixture Probability Hypothesis Density) algorithm. This method simultaneously completes the association task about position and velocity and the tracking task, and does not require an additional step on velocity ambiguity resolution. Finally, we use experimental data to verify the effectiveness of the algorithm.
AB - In the application of vehicular MIMO (Multiple Input Multiple Output) radar, it is particularly important to measure and associate the position and velocity of targets. However, traditional methods like 3D-FFT have low angular resolution, and velocity ambiguity resolution is required. Combined with Super-resolution DOA (Direction Of Arrival) algorithm, we propose a multi-dimensional information association method based on target tracking, which uses the labeled GM-PHD (Gaussian Mixture Probability Hypothesis Density) algorithm. This method simultaneously completes the association task about position and velocity and the tracking task, and does not require an additional step on velocity ambiguity resolution. Finally, we use experimental data to verify the effectiveness of the algorithm.
KW - GM-PHD
KW - MIMO radar
KW - Super-resolution DOA
KW - multi-dimensional information association
UR - https://www.scopus.com/pages/publications/85178062403
U2 - 10.1109/IGARSS52108.2023.10283360
DO - 10.1109/IGARSS52108.2023.10283360
M3 - 会议稿件
AN - SCOPUS:85178062403
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 4816
EP - 4819
BT - IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023
Y2 - 16 July 2023 through 21 July 2023
ER -