Cite
Variational Bayesian cardinalized probability hypothesis density filter for robust underwater multi-target direction-of-arrival tracking with uncertain measurement noise
MLA
Boxuan Zhang, et al. “Variational Bayesian Cardinalized Probability Hypothesis Density Filter for Robust Underwater Multi-Target Direction-of-Arrival Tracking with Uncertain Measurement Noise.” Frontiers in Physics, vol. 11, Feb. 2023. EBSCOhost, https://doi.org/10.3389/fphy.2023.1142400.
APA
Boxuan Zhang, Xianghao Hou, Yixin Yang, Jianbo Zhou, & Shengli Xu. (2023). Variational Bayesian cardinalized probability hypothesis density filter for robust underwater multi-target direction-of-arrival tracking with uncertain measurement noise. Frontiers in Physics, 11. https://doi.org/10.3389/fphy.2023.1142400
Chicago
Boxuan Zhang, Xianghao Hou, Yixin Yang, Jianbo Zhou, and Shengli Xu. 2023. “Variational Bayesian Cardinalized Probability Hypothesis Density Filter for Robust Underwater Multi-Target Direction-of-Arrival Tracking with Uncertain Measurement Noise.” Frontiers in Physics 11 (February). doi:10.3389/fphy.2023.1142400.