Abstract

The Chinese BeiDou navigation satellite system (BDS) aims to provide global positioning service by 2020. The combined use of BDS and Global Positioning System (GPS) is proposed to provide navigation service with more stringent requirements. Actual satellite data, signals and measurements were collected for more than one month to analyze the positioning service qualities from both BDS and GPS. In addition to the conversions of coordinate and timing system, five data quality analysis (DQA) methods, three signal quality analysis (SQA) methods, and four measurement quality analysis (MQA) methods are proposed in this paper to improve the integrated positioning performance of BDS and GPS. As shown in the experiment results, issues related to BDS and GPS are resolved by the above proposed quality analysis methods. Thus, the anomalies in satellite data, signals and measurements can be detected by following the suggested resolutions to enhance the positioning performance of the combined use of BDS and GPS in the Asia Pacific region.

Highlights

  • An increasing number of countries have focused on the development of their own GlobalNavigation Satellite System (GNSS), which provides convenient real-time positioning, velocity, and time services [1]

  • MEO, inclined geosynchronous orbit (IGSO), and GEO satellites, a BeiDou Navigation Satellite System (BDS) receiver has to consider the inter-satellite-type biases between different constellations [16]. Besides these inter-system and inter-satellite-type biases, it is of practical interest to evaluate the differences between BDS and Global Positioning System (GPS) based on actual satellite data, signals and measurements

  • Results ofHowever, SQA1 to even lowerstrengths than those due than to the transmission distances being longer for the remove irregular satellites

Read more

Summary

Introduction

An increasing number of countries have focused on the development of their own Global. MEO, IGSO, and GEO satellites, a BDS receiver has to consider the inter-satellite-type biases between different constellations [16] Besides these inter-system and inter-satellite-type biases, it is of practical interest to evaluate the differences between BDS and GPS based on actual satellite data, signals and measurements. For a complete survey of the performance of BDS and GPS, this research divides the analysis methods into data quality analysis (DQA), signal quality analysis (SQA), and measurement quality analysis (MQA). These analyses correspond to satellite broadcasts of satellite location information, signal arrival at the receiver, receiver calculation of ranging measurements based on the received signal and receiver’s. GPS and BDS SIS data were analyzed using these three analysis methods

Data Quality Analysis
DQA3: DQA5:Ephemeris
DQA1: Satellite Position Difference When Ephemeris Is Updated
DQA2: Satellite Clock Correction Difference When Ephemeris Is Updated
DQA3: Ephemeris Applicable Period
DQA4: Satellite Position Difference between Almanac and Ephemeris
DQA5: Almanac Applicable Period
DQA Conclusions
Signal Quality Analysis
SQA1: Signal Strength for Various Times and Satellite Elevation Angles
GPSThe
Impact
SQA2:Mean
SQA3: Signal
SQA Most
Measurement Quality
MQA3: Measurement error source analysis
MQA1: Measurement Stability Analysis
14. Compared
1.38 Analysis
MQA3: Error Source Analysis
19. GPS tropospheric tropospheric error
MQA4: Pseudorange
Conclusions
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call