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Development of artificial intelligence exhibition tourism model based on POI positioning algorithm

INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT 2023年 1-11页

作者： Zhang, Su Tourism Coll Zhejiang Hangzhou 311231 Zhejiang Peoples R China

The POI positioning algorithm and artificial intelligence discussed in this article are the POI information system, that is, the software system of the platform. The introduction of the POI information platform, in addition to basic functions such as geographic information points, has also improved a large amount of information actually required by users, and has greatly improved users' awareness of business use. In many mobile applications, detailed and professional POI information has gradually become an important part of the positioning algorithm. In recent years, there have been more conferences and exhibitions on POI and artificial intelligence. In the following articles, we will focus on introducing and highlighting positioning algorithms and artificial intelligence technology. Starting from the exhibition field, we will share exhibition data resources, innovative exhibition service performance, and innovation and application of positioning technology for analysis and visualization from three perspectives, and study the symbiotic development of exhibition tourism and artificial intelligence, as well as the inevitability and possibility of application. The convention and exhibition tourism industry is now switching between tradition and the future, and it is an important moment to revitalize the economy. Artificial intelligence technology, which is used to simulate and expand the theoretical methods, technologies, and application systems of human intelligence, is a rapidly emerging technology and currently involves many fields. In the future, exhibition tourism will combine artificial intelligence technology, and it will inevitably develop toward the direction of intelligence and digitalization.

关键词： POI positioning algorithm Artificial intelligence Exhibition and tourism

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A rapid convergent positioning algorithm based on projected cancellation technique for pseudolite positioning systems

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GPS SOLUTIONS 2022年第1期26卷 1-14页

作者： Liu, Xu Yao, Zheng Lu, Mingquan Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China Beijing Natl Res Ctr Informat Sci & Technol Beijing 100084 Peoples R China

In many harsh environments where a global navigation satellite system (GNSS) is absent or satellite signals are blocked, pseudolite positioning systems (PLPSs) can provide stand-alone positioning service with high accuracy and flexible deployment of base stations. Nevertheless, since distances from users to pseudolites in PLPS are much closer than those to satellites in GNSS, PLPSs suffer severely from nonlinearity problems because linearization applied in traditional linearization-based positioning algorithms leads to errors in the mathematical model that impact the convergence of iterations and possibly significantly deviate positioning solutions from actual positions. To enhance the convergence performance of positioning algorithms under severe nonlinearity situations, we propose a projected cancellation (PC) technique that linearizes pseudoranges at the reference and user sites on a virtual site. Single-differenced pseudoranges effectively eliminate the nonlinear error terms. Therefore, the observation model is transformed into an approximately linear version, and the traditional positioning algorithms are more suitable to be employed. Based on this, we develop a fusion positioning algorithm that adaptively combines the projected cancellation technique with different linear positioning algorithms according to the severity of nonlinearity in order to achieve a positioning service with more rapid convergence and a higher convergence success rate. Both simulated and experimental results under various cases are obtained and compared with those of traditional algorithms. Numerical results show that the proposed algorithm improves the overall positioning accuracy by approximately 30% under severe nonlinearity situations without additional time cost compared with the existing algorithms. Moreover, it provides a significant reduction of about 48% in time cost, yielding equivalent accuracy as the Levenberg-Marquardt algorithm in normal applications fields. Real-world exp

关键词： Pseudolite positioning systems Nonlinearity problem Iterative least squares Projected cancellation positioning algorithm Rapid convergence

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Joint Traffic and Obstacle-aware UAV positioning algorithm for Aerial Networks 9

Joint Traffic and Obstacle-aware UAV Positioning Algorithm f...

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9th IEEE World Forum on the Internet of Things (WF-IoT) - The Blue Planet - A Marriage of Sea and Space

作者： Shafafi, Kamran Coelho, Andre Campos, Rui Ricardo, Manuel Univ Porto INESC TEC Porto Portugal Univ Porto Fac Engn Porto Portugal

ISBN: (纸本)9798350311617;9798350311624

Unmanned Aerial Vehicles (UAVs) are increasingly used as cost-effective and flexible Wi-Fi Access Points (APs) and cellular Base Stations (BSs) to enhance Quality of Service (QoS). In disaster management scenarios, UAV-based networks provide on-demand wireless connectivity when traditional infrastructures fail. In obstacle-rich environments like urban areas, reliable high-capacity communications links depend on Line-of-Sight (LoS) availability, especially at higher frequencies. positioning UAVs to consider obstacles and enable LoS communications represents a promising solution that requires further exploration and development. The main contribution of this paper is the Traffic- and Obstacle-aware UAV positioning algorithm (TOPA). TOPA takes into account the users' traffic demand and the need for LoS between the UAV and the ground users in the presence of obstacles. The network performance achieved when using TOPA was evaluated through ns-3 simulations. The results show up to 100% improvement in the aggregate throughput without compromising fairness.

关键词： Unmanned Aerial Vehicles Aerial Networks UAV Placement positioning algorithm LoS communications Obstacle Detection

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A Tightly-Coupled GNSS RTK/INS positioning algorithm Based on Adaptive Lag Smoother 34

A Tightly-Coupled GNSS RTK/INS Positioning Algorithm Based o...

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34th IEEE Intelligent Vehicles Symposium (IV)

作者： Ye, Cheng Li, Wei Hu, Yu Zhejiang Lab Res Ctr Adv Comp Syst Hangzhou Peoples R China Res Ctr Intelligent Comp Syst Inst Comp Technol Beijing Peoples R China

ISBN: (纸本)9798350346916

How to take into account both the calculation cost and positioning accuracy when driving over a long distance in the scene of changing satellite visibility, such as urban areas and mountain roads, is a research topic worth of attention for intelligent vehicles. In this paper, a tightly-coupled RTK/INS positioning algorithm base on adaptive lag smoother is proposed. By combining the uncertainty of the state to be estimated at the current time and the quantitative score of satellite visibility, the lag-length in smoother can be adjusted adaptively, so as to ensure positioning accuracy while reducing the calculation cost of marginal benefit consumption as much as possible. The proposed algorithm is demonstrated in both the simulator and real-world urban roads. From the experimental results, it is found that the estimation accuracy achieved by the adaptive lag smoother is similar to that of smoothers with long lag length, but the time consumption is reduced by about 30%. Under the same condition that the positioning can be completed in real time, the accuracy of the algorithm in this paper is 27% higher than that of the tightly-coupled RTK/INS system based on extended Kalman filter.

关键词： Information fusion positioning algorithm adaptive smoother fixed-lag smoother satellite navigation

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Fusion positioning algorithm of indoor WiFi and bluetooth based on discrete mathematical model

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JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING 2020年 1-11页

作者： Zhang, Fang Xuchang Univ Sch Informat Engn Xuchang Peoples R China

Aiming at the problem of limited beacon coverage and low positioning accuracy when indoor WiFi and Bluetooth are positioned separately, the fusion positioning algorithm of indoor WiFi and Bluetooth based on discrete mathematical model is studied. The position fingerprint method is used to realize WiFi indoor positioning through two stages of "off-line/training" and "on-line positioning". The intensity of Bluetooth is obtained through Gauss distribution model. The intensity of Bluetooth signal and the relationship between the distance corresponding to Bluetooth and signal intensity are used to obtain the positions of multiple groups of points to Bluetooth nodes. And then the final positioning coordinates of users are obtained by centroid algorithm. The prior location results and distribution are obtained by multi-source prior information fusion between WiFi and Bluetooth. The optimal Bayesian posterior distribution density function is used to estimate the coordinate deviation, which is used to correct the fusion positioning results and obtain the optimal estimation of the coordinates of WiFi and Bluetooth fusion positioning. The experimental results show that the algorithm can locate indoor volunteers with a positioning accuracy of more than 98% and a positioning time of less than 5 s, which has a high positioning performance.

关键词： Discrete mathematical model Indoor WiFi Bluetooth Fusion positioning algorithm

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Two-point magnetic field positioning algorithm based on rotating magnetic dipole

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MEASUREMENT 2021年 174卷 109059-109059页

作者： Lin, Pengfei Zhang, Ning Lin, Chunsheng Chang, Ming Xu, Lei Naval Univ Engn Coll Weaponry Engn Wuhan 430033 Peoples R China

The detection and localization of magnetic targets based on magnetic field signals have become a research hotspot in recent years. In this study, a magnetic field model is established for the rotating propeller, which is regarded as a magnetic dipole. Moreover, a positioning algorithm of two-point shaft-rate magnetic field is proposed according to the rotating magnetic dipole. In addition, the positioning accuracy of the algorithm and the influence of some factors such as uneven magnetic distribution of magnetic dipole and measurement noise on the accuracy are analyzed. The simulation results indicate that the positioning accuracy increases with the increase in the circular trajectory radius of magnetic moment when there is an uneven magnetic distribution. The error caused by measurement noise increases with the increase in the distance between the measurement point and magnetic dipole source. Finally, the feasibility of the algorithm is verified through experiments.

关键词： Rotating magnetic dipole positioning algorithm Magnetic field

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A Fine-Tuned positioning algorithm for Space-Borne GNSS Timing Receivers

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SENSORS 2020年第8期20卷 2327-2327页

作者： Chen, Xi Wei, QiHui Zhan, YaFeng Ma, TianYi Tsinghua Univ Natl Res Inst Informat Sci & Technol Beijing 100084 Peoples R China Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China

To maximize the usage of limited transmission power and wireless spectrum, more communication satellites are adopting precise space-ground beam-forming, which poses a rigorous positioning and timing requirement of the satellite. To fulfill this requirement, a space-borne global navigation satellite system (GNSS) timing receiver with a disciplined high-performance clock is preferable. The space-borne GNSS timing receiver moves with the satellite, in contrast to its stationary counterpart on ground, making it tricky in its positioning algorithm design. Despite abundant existing positioning algorithms, there is a lack of dedicated work that systematically describes the delicate aspects of a space-borne GNSS timing receiver. Based on the experimental work of the LING QIAO (NORAD ID:40136) communication satellite's GNSS receiver, we propose a fine-tuned positioning algorithm for space-borne GNSS timing receivers. Specifically, the proposed algorithm includes: (1) a filtering architecture that separates the estimation of satellite position and velocity from other unknowns, which allows for a first estimation of satellite position and velocity incorporating any variation of orbit dynamics;(2) a two-threshold robust cubature Kalman filter to counteract the adverse influence of measurement outliers on positioning quality;(3) Reynolds averaging inspired clock and frequency error estimation. Hardware emulation test results show that the proposed algorithm has a performance with a 3D positioning RMS error of 1.2 m, 3D velocity RMS error of 0.02 m/s and a pulse per second (PPS) RMS error of 11.8ns. Simulations with MATLAB show that it can effectively detect and dispose outliers, and further on outperforms other algorithms in comparison.

关键词： GNSS timing receiver space-borne positioning algorithm LING QIAO

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Simulation research on high precision multimode GNSS positioning algorithm

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JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2018年第4期35卷 4037-4048页

作者： Chen, Kexun Zhang, Xueying Kiatsupaibul, K. Taiyuan Univ Technol Coll Informat & Comp Taiyuan Shanxi Peoples R China Betjing Inst Struct & Environm Engn Beijing Peoples R China Univ Wroclaw Math Inst Wroclaw Poland

The traditional Gauss-Newton iterative method is highly dependent on the initial value when locating the multimode GNSS receiver. If the difference between the initial value and the true value is higher, the algorithm has the problem of increasing number of iterations, and the algorithm lacks the self main monitoring process of the GNSS receiver, which leads to a great reduction in the positioning accuracy. A high precision multi-mode GNSS positioning algorithm is proposed. It is based on the composition and working principle of multimode GNSS multimode receiver, and the pseudo distance positioning distance is obtained by using GNSS multi constellation combined location algorithm. It uses a direct algorithm without initial value and iteration through the new algorithm of high precision positioning. After linearizing the pseudo range location distance equation, the user's general position is calculated. After the pseudo range location distance equation is carried out in the general position of the user, the user's position correction is calculated by weighted least squares, and the exact location of the user is obtained. The receiver autonomous integrity monitoring (RAIM) algorithm based on the least square residual method of GNSS receiver is used to realize the self-improvement monitoring of GNSS, and to further improve the precision of the multi-mode GNSS positioning algorithm. Experimental results show that the proposed location algorithm has high location accuracy and stability.

关键词： High accuracy multimode GNSS positioning algorithm receiver pseudo range fusion RAIM algorithm perfection

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Minimum dispersion coefficient criteria based positioning algorithm for BDS

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ARCHIVES OF ELECTRICAL ENGINEERING 2018年第4期67卷 739-753页

作者： Wang, Lina Li, Linlin Univ Sci & Technol Beijing Sch Comp & Commun Engn Beijing 100083 Peoples R China

The BeiDou navigation satellite system (BDS) is one of the four global navigation satellite systems. More attention has been paid to the positioning algorithm of the BDS. Based on the study on the Kalman filter (KF) algorithm, this paper proposed a novel algorithm for the MS, named as the minimum dispersion coefficient criteria Kalman filter (MDCCKF) positioning algorithm. The MDCCKF algorithm adopts minimum dispersion coefficient criteria (MDCC) to remove the influence of noise with an alpha-stable distribution (ASD) model which can describe non-Gaussian noise effectively, especially for the pulse noise in positioning. By minimizing the dispersion coefficient of the positioning error, the MDCCKF assures positioning accuracy under both Gaussian and non-Gaussian environment. Compared with the original KF algorithm, it is shown that the MDCCKF algorithm has higher positioning accuracy and robustness. The MDCCKF algorithm provides insightful results for potential future research.

关键词： alpha-stable distribution BeiDou satellites Kalman filter minimum dispersion coefficient criteria non-Gaussian noise positioning algorithm

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The UWB-based positioning algorithm and H/W Development for Safety of Offshore Plant Workers 32

The UWB-based Positioning Algorithm and H/W Development for ...

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32nd International Conference on Information Networking (ICOIN)

作者： Lee, Dong-Hyun Shim, Young-Bo Kim, Myoung-Jin Moon, Yeon-Kug Korea Elect Technol Inst Smart Network Res Ctr Seoul South Korea

ISBN: (纸本)9781538622902

An offshore plant industry environment has high risk of accidents, accurate position information is important for workers safety. In this paper, UWB-based triangulation algorithm and hardware are proposed for offshore plant. The distance between the tag and the AP is measured by the TWR-ToA method, and accurate results are calculated by triangulation with three or more distance values. The proposed system consisting of tag, AP and positioning engine provides positioning results in x, y coordinates format with response time under 1 second.

关键词： Triangulation Time of arrival positioning algorithm

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