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公开(公告)号：US10422882B1
公开(公告)日：2019-09-24
申请号：US16220458
申请日：2018-12-14
申请人： Beihang University
发明人： Zhipeng Wang , Chuang Shi , Tinglin Li
摘要： An ARAIM subset selection method based on a BeiDou constellation includes: (a) deeming a current airspace as a two-dimensional plane and satellite distribution at some point as point distribution on the two-dimensional plane; (b) selecting coordinates of K satellites as original centroids, assigning each satellite to the closest original centroid by means of a K-Means algorithm to form K classification clusters, and recalculating a centroid of each classification cluster to obtain a centroid coordinate; (c) re-selecting the coordinates of the K satellites as the original centroids, repeating the calculation step (b) to calculate the sum of squared errors of the centroid obtained every time, and selecting the centroid with a minimum sum of squared errors as an output result; and (d) performing outlier detection on the output result of the step (c), and if an outlier appears, not performing fault assumption on a satellite at the outlier.
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公开(公告)号：US10282673B2
公开(公告)日：2019-05-07
申请号：US15788117
申请日：2017-10-19
申请人： Beihang University
发明人： Zhipeng Wang , Yanbo Zhu , Sikun Wang
摘要： A correlation processing method based on observation data from the Deidou satellite includes steps of: a) collecting observation data from the BeiDou Navigation Satellite System; b) capturing data samples according to the observation data, and determining a membership degree of each data sample, and the data samples are classified; c) constructing a target classification function, and selecting the data samples to remove the unavailable data samples; and testing stationarity of each time series; d) building an observation model by using data samples having stationarity in step c), and determining correctness of the observation model and optimizing the observation model if the observation model is not correct; and e) searching a correct observation model obtained in step d) for correlation data, and performing correlation analysis of the observation data. The method of the present invention improved the quality of observation data can be effectively improved.
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13.发明授权公开(公告)号：US11742935B2
公开(公告)日：2023-08-29
申请号：US18089639
申请日：2022-12-28
申请人： Beihang University
发明人： Zhipeng Wang , Yanbo Zhu , Ziyi Yang , Kun Fang
CPC分类号： H04B7/18521 , H04B7/18563
摘要： A constellation configuration optimization method of a low earth orbit (LEO) satellite augmentation system for an ARAIM application includes: 1, traversing vertical protection levels after all subset solutions and fault modes under the condition that integrity risk and continuity risk are equally distributed, and determining the constraint conditions of LEO satellite constellation configuration parameters; 2, determining objective functions of LEO satellite constellation configuration parameters x1, x2, x3, x4, eliminating calculated values of abnormal vertical protection levels, and screening initial populations of the parameters x1, x2, x3, x4; 3, calculating fitness of the objective functions; 4, starting from a second generation population, merging a parent population with an offspring population to form a new offspring population; 5, performing local optimal selection on the new offspring population, screening out a maximum value of the objective functions as an optimal offspring, and repeating step 4 until a genetic algebra is less than a maximum genetic algebra.
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公开(公告)号：US10852439B1
公开(公告)日：2020-12-01
申请号：US16930741
申请日：2020-07-16
申请人： Beihang University
发明人： Zhipeng Wang , Cheng Wang , Kaiyu Xue , Kun Fang
摘要： The present invention provides a global ionospheric total electron content prediction system based on a spatio-temporal sequence hybrid framework. The prediction system implements computational processing for two types of spatio-temporal sequences, wherein for a stationary spatio-temporal sequence, a STARMA model prediction method is constructed in the present invention; for a non-stationary spatio-temporal sequence, a nonlinear spatio-temporal trend is firstly extracted from the non-stationary spatio-temporal sequence by adopting a ConvLSTM method until the extracted residual passes a stationarity test, and then the electron content is predicted using the STARMA model prediction method. By using a parallel computing method in the present invention, the computational efficiency can be greatly improved, and the operation time can be saved; meanwhile, the global ionospheric electron content distribution characteristics are fully considered, so that the ionospheric prediction algorithm itself is more in line with the space weather law and has a higher prediction accuracy.
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公开(公告)号：US10732289B1
公开(公告)日：2020-08-04
申请号：US16713241
申请日：2019-12-13
申请人： Beihang University
发明人： Zhipeng Wang , Yanbo Zhu , Xin Li , Kun Fang , Jingtian Du
摘要： The present invention provides a LDACS-based air-ground cooperative positioning method. According to the method, on the basis of LDACS, users are classified into super-high-altitude users, high-altitude users, and low-altitude users, and air-ground cooperative positioning is implemented through information exchange among the users at the three levels. Meanwhile, a new fault mode and an integrity hazard are introduced into the method. Therefore, the present invention further provides a method for monitoring the integrity of a LDACS-based air-ground cooperative positioning method, including a fault detection algorithm and a protection level solving method; and proposes a method for evaluating the complexity of integrity monitoring. The LDACS-based air-ground cooperative positioning method provided in the present invention well solves the problem of the shortage of APNT services in poor terrain conditions, making the positioning results more accurate.
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公开(公告)号：US10197678B1
公开(公告)日：2019-02-05
申请号：US16037068
申请日：2018-07-17
申请人： Beihang University
发明人： Zhipeng Wang , Yanbo Zhu , Jingtian Du , Yuan Liu
摘要： An H-ARAIM system of optimizing a horizontal protection level includes constellations, a ground reference station and an aircraft, the ground reference station is used for receiving the satellite coordinate data of the constellations, and processing the received satellite coordinate data into an input data for the calculation of the aircraft horizontal protection level. The aircraft is built-in with a receiver and a data processor, the receiver is used for receiving the input data sent by the ground reference station, and transmitting the input data to the data processor for the data processing as follows: when a difference between a positioning solution of a full visible satellite and a positioning solution of a fault subset is within a threshold of a fault subset monitor system statistical magnitude, the receiver begins to calculate the protection level, which is calculated for protecting the iterative update.
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公开(公告)号：US09958551B1
公开(公告)日：2018-05-01
申请号：US15723543
申请日：2017-10-03
申请人： Beihang University
发明人： Zhipeng Wang , Yanbo Zhu , Wei Shao , Qiang Li
摘要： A method for evaluating the availability of ARAIM system is provided. A satellite position coordinate and clock offset of each satellite at a current time point and several time points before the current time point are received. Empirical mode decomposition is performed on the position coordinate and the clock offset respectively, to obtain a position coordinate mode component and a clock offset mode component of each satellite at each time point. A position coordinate mode component and a clock offset mode component of each satellite at a time point next to the current time point are obtained respectively. According to the position coordinate mode component and the clock offset mode component of each satellite at the time point next to the current time point, a position coordinate mode component and a clock offset mode component of each satellite at a next time point is obtained, thereby obtaining an evaluation result.
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公开(公告)号：US11022695B1
公开(公告)日：2021-06-01
申请号：US17012202
申请日：2020-09-04
申请人： Beihang University
发明人： Kun Fang , Yanbo Zhu , Zhen Gao , Zhipeng Wang
摘要： A GBAS integrity risk allocation system based on key satellites is used to perform a GBAS integrity risk allocation method, including: reading data from an ephemeris at a certain time, and determining numbers of key satellites, key satellite pairs and key satellite groups at a certain time; under H2 hypothesis, allocating the integrity risks by using the fault probability of satellites in key satellite pairs or key satellite groups, where the integrity risks allocated by using the fault probability of satellites in key satellite pairs or key satellite groups include integrity risks caused by dual-receiver fault and integrity risks caused by ranging source fault; under H0 and H1 hypotheses, allocating the integrity risks by using the fault probability of non-key satellites; making an integrity allocation table according to the integrity risk allocation under the H0, H1 and H2 hypotheses.
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公开(公告)号：US10782418B1
公开(公告)日：2020-09-22
申请号：US16713288
申请日：2019-12-13
申请人： Beihang University
发明人： Zhipeng Wang , Yanbo Zhu , Cong Du , Kun Fang , Qiang Li
摘要： The present invention provides a calculation method for visual navigation integrity monitoring. With the method, by use of an appropriate visual positioning model, a mathematical algorithm and rich navigation measurements, the positioning accuracy and availability of positioning results are improved, and the problem of insufficient performance of satellite integrity algorithms caused by impossible guarantee of availability of a GNSS in complex environments is solved, which is helpful to realize aircraft accurate approach and automatic landing and of great significance to ensure the safety of aviation flight.
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