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Anas Mahmoud Almanofi,Adnan Malki,Ali Kazem
Pág. 279 - 284
In this paper, we estimate Doppler frequency of a maneuvering target being tracked by passive radar using two types of particle filter, the first is ?Maximum Likelihood Particle Filter? (MLPF) and the second is ?Minimum Variance Particle filter? (MVPF). ...
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Yanbo Wang, Fasheng Wang, Jianjun He and Fuming Sun
The particle filter method is a basic tool for inference on nonlinear partially observed Markov process models. Recently, it has been applied to solve constrained nonlinear filtering problems. Incorporating constraints could improve the state estimation ...
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Kunhu Kou, Bochen Li, Lu Ding and Lei Song
Underwater multi-target tracking is one of the key technologies for military missions, including patrol and combat in the crucial area. Since the underwater environment is complex and targets? trajectories may intersect when they are in a dense area, it ...
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Di Wu, Lanyue Zhang, Jia Wang and Xueru Hu
Detection of underwater coherent interference is necessary as its presence affects the estimation of the desired target. In this work, a method based on high-order particle velocity gradient polarization characteristics is proposed to distinguish the pre...
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Junyi Yang, Yutong Yao and Donghe Yang
Due to the complexity of the underwater environment, tracking underwater targets via traditional particle filters is a challenging task. To resolve the problem that the tracking accuracy of a traditional particle filter is low due to the sample impoveris...
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Yuyuan Zhou, Chao Sun and Lei Xie
Environmental mismatch degrades the performance of source localization and tracking methods in shallow water. One solution is to estimate source parameters and the key environmental parameters simultaneously from the acoustic data. In this paper, an unco...
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Wenhan Gao, Shanmin Zhou, Shuo Liu, Tao Wang, Bingbing Zhang, Tian Xia, Yong Cai and Jianxing Leng
Sonar images have the characteristics of lower resolution and blurrier edges compared to optical images, which make the feature-matching method in underwater target tracking less robust. To solve this problem, we propose a particle filter (PF)-based unde...
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Wenzheng Zhang, Jiumao Cai, Guoliang Zhai, Lei Song and Mouchao Lv
The sand media filter is a crucial component of micro-irrigation filtration systems. Investigating the effects of various factors on filtration performance and the migration patterns of sediment particles within the filter can enhance the healthy operati...
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Li Ma, Ning Cao, Xiaoliang Feng, Jianping Zhang and Jingjing Yan
In a complex indoor environment, wireless signals are affected by multiple factors such as reflection, scattering or diffuse reflection of electromagnetic waves from indoor walls and other objects, and the signal strength will fluctuate significantly. Fo...
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Wenliao Du, Xukun Hou and Hongchao Wang
It is difficult to accurately extract the health index of non-stationary signals of rolling bearings under variable rotational speed, which also leads to greater prediction error for bearing degradation models with fixed parameters. For this reason, an a...
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Guangwei Fan, Chuanzhen Sheng, Baoguo Yu, Lu Huang and Qiang Rong
In terms of indoor and outdoor positioning, in recent years, researchers at home and abroad have proposed some multisource integrated navigation and positioning methods, but these methods are navigation and positioning methods for a single scene. When it...
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Douglas E. Johnston
In this paper, we provide a novel Bayesian solution to forecasting extreme quantile thresholds that are dynamic in nature. This is an important problem in many fields of study including climatology, structural engineering, and finance. We utilize results...
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Laszlo Arvai
Pág. pp. 174 - 186
The recent achievements in mobile technology and wearable OS makes possible to create comfortably wearable and very capable smartwatches. They have many different sensors and powerful hardware combined with general purpose OS and all this available for r...
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Xuan Wang, Guoliang Chen, Mengyi Yang and Saizhou Jin
Currently, pedestrian dead reckoning (PDR) is widely used in indoor positioning. Since there are restrictions on a device?s pose in the procedure of using a smartphone to perform the PDR algorithm, this study proposes a novel heading estimation solution ...
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Meng Sun, Yunjia Wang, Shenglei Xu, Hongji Cao and Minghao Si
This paper proposes a fusion indoor positioning method that integrates the pedestrian dead-reckoning (PDR) and geomagnetic positioning by using the genetic-particle filter (GPF) algorithm. In the PDR module, the Mahony complementary filter (MCF) algorith...
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Wei Miao, Danxun Li and Qiang Zhong
The imaging technique provides an efficient non-intrusive way for studying local sediment transport with a low rate in open-channel flows. It aims to track all sediment trajectories above the background consists of similar particles (i.e., top-view image...
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Liang Cheng Chang, Shreya Pare, Mahendra Singh Meena, Deepak Jain, Dong Lin Li, Amit Saxena, Mukesh Prasad and Chin Teng Lin
At present, traditional visual-based surveillance systems are becoming impractical, inefficient, and time-consuming. Automation-based surveillance systems appeared to overcome these limitations. However, the automatic systems have some challenges such as...
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Hong Liu, Qiulong Yang and Kunde Yang
Geoacoustic inversion is an efficient method to study the physical properties and structure of ocean bottom while sequential geoacoustic inversion is a challenging task due to the complexity and non-linearity of the underwater environment. In this paper,...
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Bridget Nkemnole,Olaide Abass
AbstractOrientation: Geometric Brownian motion (GBM) model basically suggests whether the distribution of asset returns is normal or lognormal. However, many empirical studies have revealed that return distributions are usually not normal. These stu...
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Jiangyi Liu, Chunping Wang, Wei Wang and Zheng Li
Most multi-target tracking filters assume that one target and its observation follow a Hidden Markov Chain (HMC) model, but the implicit independence assumption of the HMC model is invalid in many practical applications, and a Pairwise Markov Chain (PMC)...
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