Kun Fang

Synchronous Carbon Coating and Prelithiation for Achieving Synergistic Lithium Compensation and Silicon Grain Size Modulation on Silicon Monoxide Anodes

Kun Fang, Fanzhen Lin, Qi Wan, Xuyi Liu et autres

Abstract Silicon monoxide (SiOx, x ≈ 1) possesses a specific capacity sixfold higher than graphite anodes, rendering it one of the most commercially viable anode candidates. Nevertheless, the low initial Coulombic efficiency (ICE) is one of the main factors hindering large-scale commercial …

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A robust and adaptive framework for GNSS/INS integrated navigation based on dual-domain deep learning network during GNSS outages

Zhipeng WANG, Jinxiang Wang, Xiaopeng Hou, Jifeng Guo et autres

High-precision vehicle navigation during Global Navigation Satellite System (GNSS) outages is critical for operational safety. To address this, many studies leverage deep learning to predict GNSS measurement increments from Inertial Measurement Unit (IMU) data. These predicted increments are then used to form …

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Near-Field Beam Training Design for Stacked Intelligent Metasurface Assisted Communication Systems

An Wei, Zi Wang, Kun Fang, Jiaqi Zhang et autres

The technique of stacked intelligent metasurfaces (SIMs) have emerged as a promising solution to enable advanced wave-domain processing with reduced hardware complexity. However, existing SIM research works are mainly based on the assumption of perfect channel state information (CSI), ignoring the critical …

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A Deep Unsupervised Learning Approach for GNSS Multipath Detection in High-Precision Air Transportation

Xiaopeng Hou, Kun Fang, Jifeng Guo, Zhipeng Wang et autres

With the rapid development of the low-altitude economy, the mitigation capability of global navigation satellite system (GNSS) multipath effects has emerged as a critical factor constraining the safety performance of aviation navigation. However, due to the coupled influence of multiple factors and …

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Near-Field Beam Training for Cell-Free Networks Leveraging Distributed Angle Observations

Jiaqi Zhang, Qingchao Li, Kun Fang, Zhipeng Wang et autres

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GNSS measurement fault detection for urban UAV swarms based on dual-mode parity vector assisted by relative ranging

Zhaoxin Liu, Tong Qin, Xiao Liang, Tuan Li et autres

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Preliminary Study on Network Ionospheric Monitoring for DFMC GBAS Using Collaborative Airborne Receivers

Xuedong Huang, Kun Fang, Li Wang, Zhipeng Wang et autres

To ensure the integrity of dual-frequency multi-constellation (DFMC) Ground-Based Augmentation Systems (GBAS) under disturbed ionospheric conditions, accurate real-time monitoring of ionospheric gradients is essential. Traditional GBAS threat models are derived from global or regional statistical analysis and tend to be overly conservative, …

Locking Effect of the Inhomogeneous Tectonic Lenticular Rock Mass in the Internal Geological Structure of the Baige Landslides

Peng Cao, Huiming Tang, Kun Fang, Jianhui Deng et autres

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A Robust Position Estimator Using Bayesian Sparse Prior Against GNSS MP/NLOS Outliers

Yanbo Zhu, Xiaowei Lan, Zhipeng Wang, Kun Fang et autres

In urban environments, frequent multipath (MP) and non-line-of-sight (NLOS) occurrences introduce significant measurement outliers, posing challenges for accurate and robust positioning via global navigation satellite system (GNSS). This paper proposes a robust position estimator that capitalizes on the fact that MP/NLOS typically …

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Evaluation of Code-Carrier Divergence Threat for DFMC GBAS in Urban Area

Xuedong Huang, Kun Fang, Zhipeng Wang, Rui Sun et autres

The Dual-Frequency Multi-Constellation Ground Based Augmentation System (DFMC GBAS) holds significant potential for enabling safe and precise urban air mobility (UAM) operations, such as electric vertical takeoff and landing (eVTOL). A new DFMC GBAS architecture, known as GBAS Approach Service Type (GAST) …

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Optimizing Ionospheric Semivariograms With Variable Correlation Parameters and Modeling Spatial Threats With Multiple Metrics for China Region

Hongwen Wang, Kun Fang, Zhipeng Wang, Xiaowei Lan et autres

The ionosphere presents a significant challenge for the satellite-based augmentation system (SBAS) due to its unpredictable ionospheric variations affecting satellite single-frequency signal propagation. The traditional grid model estimates vertical delays and uncertainties at ionospheric grid points (IGPs) but is limited in capturing …

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Continuity and integrity allocation over operational exposure time for ARAIM fault detection algorithm

Jingtian Du, Hongxia Wang, Kun Fang, Zhipeng Wang et autres

The snapshot Fault Detection (FD) algorithm of Advanced Receiver Autonomous Integrity Monitoring (ARAIM) necessitates the allocation of continuity and integrity risk requirements from the operational exposure time level to the single epoch level. Current studies primarily focus on finding a conservative Number …

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