Ionosphere Gradient Integrity Monitoring Kinematical Platform

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Solution Overview

Problem

Conventional GBAS ionosphere gradient integrity monitoring methods require precise reference base-stations and struggle to function without them, especially in kinematical to kinematical application environments, where there is a mutual restriction between monitoring sensitivity and smoothing time.

Innovation Solution

A method using geometry-free and ionospheric amplification type detection statistics based on BDS triple-frequency observations to decouple ionosphere gradient anomalies, improving initialization time and detection sensitivity, and including steps to adjust detection thresholds and compare miss-detection rates to ensure integrity monitoring without precise reference base-stations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional GBAS ionosphere gradient integrity monitoring is used, then monitoring sensitivity can be improved, but precise reference base-stations are required which are not available in kinematical to kinematical mode

Engineering Contradiction:
Improvemonitoring sensitivityVSAvoidadaptability to kinematical to kinematical mode
Core Design Contradiction:
Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The patent implements autonomous monitoring where the moving platform itself serves as the reference station. By using self-contained dual-frequency receivers on moving platforms and constructing geometry-free detection statistics, the system eliminates dependence on external precise reference base-stations, enabling operation in kinematical to kinematical modes while maintaining monitoring sensitivity.

Inventive Principle:
Principle #25Self-service

2Reliability

If smoothing time is increased to reduce false alarms, then false alarm rate decreases, but monitoring sensitivity and initialization time are degraded

Engineering Contradiction:
Improvefalse alarm rateVSAvoidmonitoring sensitivity
Core Design Contradiction:
ReliabilityVSMeasurement precision

Solution Approach 1:

The patent changes the fundamental parameters of the monitoring approach by using geometry-free ionospheric amplification detection statistics instead of conventional smoothed gradients. This allows the system to achieve reliable false alarm control without requiring extended smoothing times, thereby maintaining monitoring sensitivity and reducing initialization time simultaneously.

Inventive Principle:
Principle #35Parameter changes

3Productivity

If conventional ionosphere gradient monitoring is applied, then monitoring can be performed, but initialization time is long and detection sensitivity is limited without reference base-stations

Engineering Contradiction:
Improvemonitoring capabilityVSAvoidinitialization time
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The patent extracts and isolates the ionospheric gradient anomaly component by constructing geometry-free detection statistics that specifically amplify ionospheric effects while eliminating geometric dependencies. This extraction approach enables rapid detection without the need for lengthy initialization periods required by conventional methods, achieving both monitoring capability and reduced initialization time.

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentUS11686851B2Integrity monitoring method of ionosphere gradient based on kinematical to kinematical platform
Publication Date: 2023.06.27 HARBIN ENG UNIV
  • US11686851B2 patent drawing
  • US11686851B2 patent drawing
  • US11686851B2 patent drawing

AI summary

The present disclosure provides an integrity monitoring method of ionosphere gradient based on kinematical to kinematical platform, comprising step 1, constructing geometry-free and ionospheric amplification type detection statistics, based on original triple-frequency carrier phase observations, step 2, adjusting a detection threshold based on a required monitoring false alarm rate, and determining whether the detection statistics are less than the adjusted detection threshold, step 3, comparing a calculated miss-detection rate and a required miss-detection rate, and determining whether the calculated miss-detection rate are less than the required miss-detection rate, and step 4, if the detection statistics are less than the adjusted detection threshold and the calculated miss-detection rate are less than the required miss-detection rate, considering the ionosphere gradient is normal.