Article
Environmental Sciences
Hong Liu, Kunde Yang, Qiulong Yang
Summary: The adaptive particle filter method for sequential geoacoustic estimation in shallow water acoustic environments using explosive sound sources has been shown to be effective. This approach treats environmental parameters and source-receiver distance as evolving random variables. Compared to traditional particle filters, this method is more adaptable and accurate in estimating geoacoustic parameters and source-receiver distance.
Article
Acoustics
Nattapol Aunsri, Kosin Chamnongthai
Summary: This study presents a stochastic description and evaluation method for ocean acoustics signal, aiming to estimate modal frequency and dispersion curves through interpretation in the frequency domain. Utilizing a sequential Bayesian filtering framework for estimation, particularly through particle filtering, the proposed method demonstrates excellent accuracy compared to conventional MAP estimator, especially in high noise levels. Evaluation using Monte Carlo root mean squared errors (MCRMSE) shows superior tracking results with smaller errors in low signal-to-noise ratios (SNRs), highlighting the noise robustness and superiority of the proposed model over existing approaches.
Article
Engineering, Electrical & Electronic
Jeonghwan Choi, Joon-Hyuk Chang
Summary: This study proposes a method for training neural networks to extract directional components of speech signals and successfully validates it in real recordings.
IEEE SIGNAL PROCESSING LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Nabeel Ali Khan, Sadiq Ali
Summary: This paper presents a novel and robust algorithm that estimates the direction of arrival of sources by combining spatial time-frequency distributions and spatial filtering. Numerical results demonstrate that the proposed method achieves better performance compared to other state-of-the-art methods for both complete signals and sparsely sampled signals.
CIRCUITS SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Automation & Control Systems
Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen
Summary: We propose a novel particle filtering framework for continuous-time dynamical systems with continuous-time measurements. The framework is based on the duality between estimation and optimal control, which allows formulating the estimation problem as an optimal control problem over a fixed time window. By recursively solving these optimal control problems approximately, an optimal control based particle filtering algorithm, termed the path integrals particle filter (PIPF), is obtained. The proposed method uses measurements over a finite-length time window instead of a single measurement for estimation, resembling batch methods of filtering and improving fault tolerance. Several numerical examples demonstrate the efficacy of the algorithm.
Article
Environmental Sciences
Atsuhiko Isobe, Shinsuke Iwasaki
Summary: This study estimates the mass of ocean plastics by combining numerical particle tracking and linear mass-balance models. The results show that ocean plastics account for only a small percentage of mismanaged plastic waste generated over the years.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Engineering, Electrical & Electronic
Weihao Song, Zidong Wang, Jianan Wang, Fuad E. Alsaadi, Jiayuan Shan
Summary: This research investigates the particle filtering problem for a class of nonlinear/non-Gaussian systems under the dynamic event-triggered protocol to reduce communication overhead. A centralized auxiliary particle filtering algorithm and a distributed auxiliary particle filtering algorithm are proposed to address the issue effectively.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2021)
Article
Computer Science, Information Systems
Jun Zhao, Renzhou Gui, Xudong Dong, Sunyong Wu
Summary: This study proposes a DOA tracking algorithm based on the GLMB filter, which achieves MAM matching by utilizing the estimated source number from the previous time step. By combining particle filtering and exponentially weighting the likelihood function, it optimizes the posterior distribution, leading to better performance in multi-source DOA tracking.
Article
Acoustics
Brendan J. DeCourcy, Ying-Tsong Lin, Weifeng Gordon Zhang, Emma Reeves Ozanich, Natalie Kukshtel, Martin Siderius, Glen Gawarkiewicz, Jacob Forsyth
Summary: This letter reports a coordinated multi-vessel effort that took place during the spring of 2021 on the northeast United States continental shelf. The experiment aimed to study physical oceanography, marine geology and biology, and acoustics. One of the scientific goals was to establish a real-time numerical model with high spatial and temporal resolution to predict oceanography and sound propagation in the study area. The letter discusses the performance and challenges of the real-time forecast model and suggests future research directions.
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
(2022)
Article
Engineering, Mechanical
Subhamoy Sen, Neha Aswal, Qinghua Zhang, Laurent Mevel
Summary: The paper extends an existing interacting filtering algorithm to efficiently estimate structural damages while being robust to unknown non-stationary non-Gaussian input forcing. This approach is generalized beyond linear measurements to encompass the case of non-linear measurements such as strains. The joint estimation of state and parameters is performed by combining Ensemble Kalman filtering and Particle filtering.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Chemistry, Analytical
Johannes Kummert, Alexander Schulz, Tim Redick, Nassim Ayoub, Ali Modabber, Dirk Abel, Barbara Hammer
Summary: Particle filtering is a state-of-the-art technology for object tracking in diverse areas, but simple threshold strategies may not reliably determine if the tracked object is lost, prompting the need for machine learning models to predict rejection.
Article
Nanoscience & Nanotechnology
Evan Lammertse, Nikhil Koditala, Martin Sauzade, Hongxiao Li, Qiang Li, Luc Anis, Jun Kong, Eric Brouzes
Summary: This research presents a simple defocusing approach based on brightfield microscopy and open-source software to map micro-flows in 3D at high spatial and temporal resolution. The method is validated on three microfluidic examples, revealing novel structures and patterns in displacement structures and droplet microfluidics.
MICROSYSTEMS & NANOENGINEERING
(2022)
Article
Engineering, Electrical & Electronic
Chong-Rui Huang, Cheng-Yuan Chang, Sen M. Kuo
Summary: Hear-through (HT) technique actively compensates for passive isolation in headphones by enhancing the perception of ambient sound. It generates artificial sound based on a relative transfer function (RTF) to make up for the loss of ambient sound. This study introduces a time-shift scheme and an active equalization algorithm to accurately calculate the compensating sound.
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS
(2022)
Article
Physics, Multidisciplinary
Xianghao Hou, Jianbo Zhou, Yixin Yang, Long Yang, Gang Qiao
Summary: This paper presents a solution for the 3D passive underwater uncooperative target tracking problem in a time-varying non-Gaussian environment, using a distributed passive underwater buoys observing system and an adaptive particle filter to overcome the low observability drawback and achieve good results.
Article
Automation & Control Systems
Lei Liu, Lifeng Ma, Jian Guo, Jie Zhang, Yuming Bo
Summary: This paper examines the distributed set-membership filtering problem for a class of discrete time-varying systems over digital wireless sensor networks. A new coding-decoding communication strategy is implemented to regulate data transmission, and matrix inequalities are established to address the filtering problem solvability. A sub-optimal problem is presented to seek the locally optimal distributed filter.
