A5043550848- GNSS positioning and interference
- Indoor and Outdoor Localization Technologies
- Inertial Sensor and Navigation
- Wireless Communication Networks Research
- Advanced Frequency and Time Standards
- Advanced Wireless Communication Techniques
- Target Tracking and Data Fusion in Sensor Networks
- Direction-of-Arrival Estimation Techniques
- Geophysics and Gravity Measurements
- Underwater Vehicles and Communication Systems
- Ionosphere and magnetosphere dynamics
- Data Management and Algorithms
- Radar Systems and Signal Processing
- Robotics and Sensor-Based Localization
- Concrete and Cement Materials Research
- Power Line Communications and Noise
- Antenna Design and Optimization
- Satellite Communication Systems
- Advanced MIMO Systems Optimization
- Speech and Audio Processing
- Radio Wave Propagation Studies
- Geographic Information Systems Studies
- Recycling and utilization of industrial and municipal waste in materials production
- Cooperative Communication and Network Coding
- Radio Astronomy Observations and Technology
Tsinghua University
2016-2025
BaiCheng Normal University
2021-2025
Guiyang Medical University
2025
Nanjing University of Science and Technology
2024
Beijing Academy of Artificial Intelligence
2024
National Engineering Research Center for Information Technology in Agriculture
2020-2023
Shangluo University
2015-2022
Shandong Jianzhu University
2022
China University of Petroleum, Beijing
2021
Beijing Jiaotong University
2019
With the completion of experimental and regional phases, China's BeiDou Navigation Satellite System (BDS) is being speedily expanded to a global multifunctional satellite navigation system, BDS III. Confronted with challenges such as limited frequency resources diversified user requirements, new signals novel modulation techniques are adopted in In addition legacy B1I B3I signals, open service B1C B2a/B2b, well some authorized will be broadcast by III satellites. Among them, B2a compatible...
The sine-BOC (binary offset carrier) modulation is used in several signals of the new European Global Navigation Satellite System, Galileo, and modernized GPS. It provides these with enhanced robustness against multipath increases precision range measurement. However, this presents some drawbacks. most severe ambiguity problem acquisition tracking, which introduces a large bias pseudo-range In order to solve problem, an unambiguous tracking technique for proposed. This based on pseudo...
This paper describes a robust integrated positioning method to provide ground vehicles in urban environments with accurate and reliable localization results. The problem is formulated as maximum posteriori probability estimation solved using graph optimization instead of Bayesian filter. Graph exploits the inherent sparsity observation process satisfy real-time requirement only updates incremental portion variables each new incoming measurement. Unlike Extended Kalman Filter (EKF) typical...
Localization systems utilizing Ultra-WideBand (UWB) have been widely used in dense urban and indoor environments. A moving UWB tag can be located by ranging to fixed anchors whose positions are surveyed advance. However, manually surveying the is typically a dull time-consuming process prone artificial errors. In this paper, we present an accurate easy-to-use method for anchor self-localization, using measurements readings from low-cost Inertial Measurement Unit (IMU). The locations of...
Abstract Background Although great efforts have been made to quantify mangrove carbon stocks, accurate estimations of below-ground stocks remain unreliable. In this study, we examined the distribution patterns in China and other countries using our own field survey data datasets from published literature. Based on these data, investigated possible relationships between above-ground stock (AGC) (BGC) for forests, aiming provide a scientific basis estimation total stocks. Results The average...
The emerging Global Navigation Satellite Systems (GNSS) including the BeiDou System (BDS) offer more visible satellites for positioning users. To employ those new in a real-time kinematic (RTK) algorithm to enhance precision and availability, data processing model dual constellation of GPS BDS is proposed analyzed. A Kalman filter-based developed estimate float ambiguities short baseline scenarios. entire work process high-precision based on deeply investigated detail. validated with real...
In two-way time-of-arrival (TOA) systems, a user device (UD) obtains its position and timing information by round-trip communications to number of anchor nodes (ANs) at known locations. Compared with the one-way TOA technique, scheme is easy implement has higher localization synchronization accuracy. Existing methods assume stationary UD. This will cause uncompensated errors. this article, we propose an optimal maximum likelihood (ML) based method, namely TWLAS. Different from existing...
Outage probability for maximal ratio combining (MRC) is usually tackled in the framework of Rayleigh or Nakagami faded co-channel interferers with equal power, which allows treatment total interference power as a single gamma distributed variable to simplify analysis. The more general case unequal-power formulated and solved differently this paper ending up simple closed-form solutions Rician/Rayleigh Nakagami/Rayleigh channel models.
Jamming and spoofing are the two main types of intentional interference for global navigation satellite system (GNSS) receivers. Due to entirely different signal characteristics they have, a few techniques can deal with them simultaneously. This paper proposes two-stage suppression scheme based on antenna arrays, which detect mitigate jamming before despreading GNSS First, subspace projection was adopted eliminate high-power signals. The output is still multi-dimensional vector so that...
Localizing moving targets in unknown harsh environments has always been a severe challenge. This letter investigates novel localization system based on multi-agent networks, where multiple agents serve as mobile anchors broadcasting their time-space information to the targets. We study how target can localize itself using sequential time of arrival (TOA) one-way broadcast signals. An extended two-step weighted least squares (TSWLS) method is proposed jointly estimate position and velocity...
Spatiotemporal information plays crucial roles in a multiagent system (MAS). However, for highly dynamic and dense MAS unknown environments, estimating its spatiotemporal states is difficult problem. In this article, we present BLAS-a wireless broadcast relative localization clock synchronization to address these challenges. Our BLAS exploits architecture, under which categorized into parent agents that packets child are passive receivers, reduce the number of required among synchronization....
This article presents a two-step stochastic hybrid estimation (TS-SHE) algorithm for robust and accurate carrier phase tracking of global navigation satellite system (GNSS) signals in urban environments with significant power degradation fluctuation. The proposed adaptively combines bank parallel Kalman filters (KFs) different dynamic state models to cope the nonstationarity GNSS signals. Different from conventional approaches, including lock loop (PLL), KF, interacting multiple-model (IMM)...
Performance analysis of Global Navigation Satellite Systems (GNSS) collaborative positioning accuracy is a challenging task since there are too many impact factors. To simplify the analysis, dilution precision (CDOP) model proposed to specify multiplicative effect various factors on positioning. Based this CDOP model, theoretical and simulation tests performed, results compared with GNSS standalone The impacts number users their distribution relative distance measurement also analyzed...
Robust and centimeter-level Real-time Kinematic (RTK)-based Global Navigation Satellite System (GNSS) positioning is of paramount importance for emerging GNSS applications, such as drones automobile systems. However, the performance conventional single-rover RTK degrades greatly in urban environments due to signal blockage strong multipath. The increasing use multiple-antenna/rover configurations attitude determination above precise just well, allows more information involved improve areas....
Due to the difficulty in its exact analysis, ergodic (average) channel capacity of correlated multiple-input multiple-output (MIMO)-fading channels is evaluated mainly by resorting bounding techniques. Most techniques, however, are focused on upper bound, and exploit information a Wishart-distributed sample covariance matrix solely form determinant or mean value. In this paper, we rigorously represent det(I + /spl gamma/S) terms all possible principal submatrices S, thereby allowing us fine...
It is well known that multipath effect remains a dominant error source affects the positioning accuracy of Global Navigation Satellite System (GNSS) receivers. Significant efforts have been made by researchers and receiver manufacturers to mitigate in past decades. Recently, mitigation technique using dual-polarization antennas has become research hotspot for it provides another degree freedom distinguish line-of-sight (LOS) signal from LOS composite without extensively increasing complexity...
The proliferation of AI-generated media poses significant challenges to information authenticity and social trust, making reliable detection methods highly demanded. Methods for detecting have evolved rapidly, paralleling the advancement Multimodal Large Language Models (MLLMs). Current approaches can be categorized into two main groups: Non-MLLM-based MLLM-based methods. former employs high-precision, domain-specific detectors powered by deep learning techniques, while latter utilizes...
To address the challenge of extracting fault features and accurately identifying bearing conditions under strong noisy environments, a rolling failure diagnostic technique is presented that utilizes parameter-optimized maximum second-order cyclostationary blind deconvolution (CYCBD) bidirectional long short-term memory (BiLSTM) networks. Initially, an adaptive golden jackal optimization (GJO) algorithm employed to refine important CYCBD parameters. Subsequently, signals are filtered denoised...