scholarly journals A Subset-Reduced Method for FDE ARAIM of Tightly-Coupled GNSS/INS

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 4847
Author(s):  
Weichuan Pan ◽  
Xingqun Zhan ◽  
Xin Zhang ◽  
Shizhuang Wang
Keyword(s):  
Global Navigation Satellite System ◽  
Inertial Navigation System ◽  
Satellite System ◽  
Civil Aviation ◽  
Navigation Satellite ◽  
Tightly Coupled ◽  
Simulation Results ◽  
Receiver Autonomous Integrity Monitoring ◽  
Global Navigation Satellite ◽  
Advanced Receiver

The advanced receiver autonomous integrity monitoring (advanced RAIM, ARAIM) is the next generation of RAIM which is widely used in civil aviation. However, the current ARAIM needs to evaluate hundreds of subsets, which results in huge computational loads. In this paper, a method using the subset excluding entire constellation to evaluate the single satellite fault subsets and the simultaneous multiple satellites fault subsets is presented. The proposed ARAIM algorithm is based on the tight integration of the global navigation satellite system (GNSS) and inertial navigation system (INS). The number of subsets that the proposed GNSS/INS ARAIM needs to consider is about 2% of that of the current ARAIM, which reduces the computational load dramatically. The detailed fault detection (FD) process and fault exclusion (FE) process of the proposed GNSS/INS ARAIM are provided. Meanwhile, the method to obtain the FD-only integrity bound and the after-exclusion integrity bound is also presented in this paper. The simulation results show that the proposed GNSS/INS ARAIM is able to find the failing satellite accurately and its integrity performance is able to meet the integrity requirements of CAT-I precision approach.

scholarly journals PRELIMINARY ANALYSES OF BEIDOU SIGNAL-IN-SPACE ANOMALY SINCE 2013

2016 ◽  
Vol XLI-B1 ◽  
pp. 517-523 ◽  
Author(s):  
Y. Wu ◽  
J. Ren ◽  
W. Liu
Keyword(s):  
Global Navigation Satellite System ◽  
Space Vehicle ◽  
Estimation Algorithm ◽  
Satellite System ◽  
Ground Control ◽  
Navigation Satellite ◽  
Receiver Autonomous Integrity Monitoring ◽  
Global Navigation Satellite ◽  
System Knowledge ◽  
Advanced Receiver

As BeiDou navigation system has been operational since December 2012. There is an increasing desire to use multiple constellation to improve positioning performance. The signal-in-space (SIS) anomaly caused by the ground control and the space vehicle is one of the major threats to affect the integrity. For a young Global Navigation Satellite System, knowledge about SIS anomalies in history is very important for not only assessing the SIS integrity performance of a constellation but also providing the assumption for ARAIM (Advanced Receiver Autonomous Integrity Monitoring). <br><br> In this paper, the broadcast ephemerides and the precise ones are pre-processed for avoiding the false anomaly identification. The SIS errors over the period of Mar. 2013-Feb. 2016 are computed by comparing the broadcast ephemerides with the precise ones. The time offsets between GPST (GPS time) and BDT (BeiDou time) are estimated and removed by an improved estimation algorithm. SIS worst-UREs are computed and a RMS criteria are investigated to identify the SIS anomalies. The results show that the probability of BeiDou SIS anomalies is in 10-3 level in last three years. Even though BeiDou SIS integrity performance currently cannot match the GPS integrity performances, the result indicates that BeiDou has a tendency to improve its integrity performance.

scholarly journals PRELIMINARY ANALYSES OF BEIDOU SIGNAL-IN-SPACE ANOMALY SINCE 2013

2016 ◽  
Vol XLI-B1 ◽  
pp. 517-523
Author(s):  
Y. Wu ◽  
J. Ren ◽  
W. Liu
Keyword(s):  
Global Navigation Satellite System ◽  
Space Vehicle ◽  
Estimation Algorithm ◽  
Satellite System ◽  
Ground Control ◽  
Navigation Satellite ◽  
Receiver Autonomous Integrity Monitoring ◽  
Global Navigation Satellite ◽  
System Knowledge ◽  
Advanced Receiver

As BeiDou navigation system has been operational since December 2012. There is an increasing desire to use multiple constellation to improve positioning performance. The signal-in-space (SIS) anomaly caused by the ground control and the space vehicle is one of the major threats to affect the integrity. For a young Global Navigation Satellite System, knowledge about SIS anomalies in history is very important for not only assessing the SIS integrity performance of a constellation but also providing the assumption for ARAIM (Advanced Receiver Autonomous Integrity Monitoring). <br><br> In this paper, the broadcast ephemerides and the precise ones are pre-processed for avoiding the false anomaly identification. The SIS errors over the period of Mar. 2013-Feb. 2016 are computed by comparing the broadcast ephemerides with the precise ones. The time offsets between GPST (GPS time) and BDT (BeiDou time) are estimated and removed by an improved estimation algorithm. SIS worst-UREs are computed and a RMS criteria are investigated to identify the SIS anomalies. The results show that the probability of BeiDou SIS anomalies is in 10-3 level in last three years. Even though BeiDou SIS integrity performance currently cannot match the GPS integrity performances, the result indicates that BeiDou has a tendency to improve its integrity performance.

scholarly journals Optimal Fault Detection and Exclusion Applied in GNSS Positioning

2013 ◽  
Vol 66 (5) ◽  
pp. 683-700 ◽  
Author(s):  
Ling Yang ◽  
Nathan L. Knight ◽  
Yong Li ◽  
Chris Rizos
Keyword(s):  
Fault Detection ◽  
Global Navigation Satellite System ◽  
Single Point ◽  
Satellite System ◽  
Navigation Satellite ◽  
Gnss Positioning ◽  
Practical Strategy ◽  
Receiver Autonomous Integrity Monitoring ◽  
Global Navigation Satellite ◽  
Made In

In Global Navigation Satellite System (GNSS) positioning, it is standard practice to apply the Fault Detection and Exclusion (FDE) procedure iteratively, in order to exclude all faulty measurements and then ensure reliable positioning results. Since it is often only necessary to consider a single fault in a Receiver Autonomous Integrity Monitoring (RAIM) procedure, it would be ideal if a fault could be correctly identified. Thus, fault detection does not need to be applied in an iterative sense. One way of evaluating whether fault detection needs to be reapplied is to determine the probability of a wrong exclusion. To date, however, limited progress has been made in evaluating such probabilities. In this paper the relationships between different parameters are analysed in terms of the probability of correct and incorrect identification. Using this knowledge, a practical strategy for incorporating the probability of a wrong exclusion into the FDE procedure is developed. The theoretical findings are then demonstrated using a GPS single point positioning example.

Assessment Models and Rules of GNSS Interoperability

2013 ◽  
Vol 846-847 ◽  
pp. 808-811
Author(s):  
Wei Wang ◽  
Cheng Cai Lv ◽  
Xin Li
Keyword(s):  
Global Navigation Satellite System ◽  
Satellite System ◽  
System Level ◽  
Navigation Satellite ◽  
Weighted Sum ◽  
Dilution Of Precision ◽  
Satellite Systems ◽  
System Integrity ◽  
Simulation Results ◽  
Global Navigation Satellite

Global Navigation Satellite System (GNSS) interoperability could make use of the information from different navigation satellite systems. To estimate GNSS interoperability at the system level, an innovative assessment algorithm was presented in this paper. First of all, three assessment parameters, namely, Dilution Of Precision (DOP), Navigation Satellite System Precision (NSSP) and Navigation Satellite System Integrity (NSSI) were introduced. Secondly, availability and continuity of the assessment parameters were adopted to quantify the GNSS performance. A further step was then taken to focus on the assessment rule for GNSS performance by employing the weighted sum of availability and continuity. Simulation results demonstrate that GNSS performance could be improved significantly by interoperability.

The Effect of Terrain Mask on RAIM Availability

2009 ◽  
Vol 63 (1) ◽  
pp. 105-117 ◽  
Author(s):  
Tomislav Radišić ◽  
Doris Novak ◽  
Tino Bucak
Keyword(s):  
Global Navigation Satellite System ◽  
Satellite System ◽  
Navigation Satellite ◽  
Integrity Monitoring ◽  
Specific Location ◽  
Gps Satellites ◽  
Satellite Geometry ◽  
Minimum Number ◽  
Receiver Autonomous Integrity Monitoring ◽  
Global Navigation Satellite

Receiver Autonomous Integrity Monitoring (RAIM) is a method, used by an aircraft's receiver, for detecting and isolating faulty satellites of the Global Navigation Satellite System (GNSS). In order for a receiver to be able to detect and isolate a faulty satellite using a RAIM algorithm, a couple of conditions must be met: a minimum number of satellites, and an adequate satellite geometry. Due to the highly predictable orbits of the GPS satellites, a RAIM availability prediction can be done easily. A number of RAIM methods exist; however, none of them takes into account the precise terrain masking of the satellites for the specific location. They consider a uniform fixed mask angle over the whole horizon. This paper will introduce the variable mask RAIM algorithm in order to show to what extent the terrain can affect the RAIM availability and how much it differs from the conventional algorithms.

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