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observation data igmas system full-chain quality indicator system dual-frequency observation data observation data introduction interpretation seismic networks-strong motion observation fixed plate embedded uiccremote management platform
GB/T 39396.1-2020 in English

GB/T 39396.1-2020 in English

VALID

Quality requirements for international GNSS monitoring and assessment system (iGMAS)—Part 1:Observation data

  • Issued on:2020-11-19
  • Implemented on:2021-06-01
  • File Format:PDF
  • Delivery:Via email within 1~3 business days
Price(USD): $210.00
$204.00
Standard No: GB/T 39396.1-2020
Document status: VALID
Title in English: Quality requirements for international GNSS monitoring and assessment system (iGMAS)—Part 1:Observation data
Title in Chinese: 全球连续监测评估系统(iGMAS)质量要求 第1部分:观测数据
Language: English
File Format: Electronic (PDF)
Delivery: Via email within 1~3 business days
Issued on: 2020-11-19
Implemented on: 2021-06-01
ICS Classification: 49.020-Aircraft and space vehicles in general
Chinese Classification: V04-Basic standards and general methods
Professional Classification: GB-National Standard
Related Keywords: observation data
igmas system
full-chain quality indicator system
dual-frequency observation data
observation data introduction interpretation
Related Topics: data observation
global quality
continuous monitoring
ims global data
evaluation system
Ruiyi Continuous Monitoring System
global quality
data observation
Global Monitoring System
Flux Observation System
view as monitoring
global monitoring
GB/T 39396.1
GB/T 39396.1-2020
worldwide

《GB/T 39396.1-2020全球连续监测评估系统(iGMAS)质量要求 第1部分:观测数据》由TC544(全国北斗卫星导航标准化技术委员会)归口,主管部门为中央军委装备发展部。


Introduction

Interpretation of the core content of the standard

GB/T 39396.1-2020 is my country's first national standard for observation data of the iGMAS system, which has established a full-chain quality indicator system covering data collection, processing and evaluation. The standard is applicable to key links such as the development of GNSS receivers and the site selection of tracking stations.

Comparison of key technical indicators

Indicator items Technical requirements Applicable scenarios Sampling requirements
Data integrity rate ≥90% System/single frequency 30s
Cycle slip ratio ≥500 System level 30s
Multipath error ≤0.5m Single frequency/satellite 30s
Pseudorange noise 6-18cm Signal type 1s

Key points for the implementation of key indicators

Cycle slip ratio detection technology

The standard innovatively adopts the MW-GF combined detection method:

  1. The MW combination detects large cycle slips through the dual-frequency carrier phase and pseudorange combination values (Formula 4-5)
  2. The GF combination detects small cycle slips through the geometrically independent combination values (Formula 6-7)
In actual applications, attention should be paid to the elimination of receiver clock jumps and gross errors. It is recommended to use GNSS data analysis software for automated processing.

Multipath Error Control

For different signal frequency band characteristics (B1C/L1/E1, etc.), the standard requires:

  • Use dual-frequency observation data for calculation (Formula 8-10)
  • Preprocessing is required to eliminate gross errors and repair clock jumps
  • Typical scenarios: In urban canyon environments, it is recommended to increase the observation time to more than 24 hours


Standard Evolution and Innovation

Compared with international standards such as ISO 17123-8, this standard has three major breakthroughs:

  • Full system coverage: For the first time, the quality requirements of the four systems BDS/GPS/GLONASS/Galileo are unified
  • Dynamic indicators: Introducing pseudorange/carrier phase noise detection at a high sampling rate of 1s
  • Engineering applicability: Appendix A/B lists the signal frequencies and combinations of each system in detail

Implementation suggestions

1. Equipment selection: Select a multi-frequency GNSS receiver to ensure that the 10.23MCPS high bit rate signal requirements are met
2. Data processing: It is recommended to use a standardized algorithm package to process the MW-GF combination value
3. Quality monitoring: Establish an automated early warning mechanism to trigger an alarm when the carrier-to-noise ratio is <35dBHz

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