Pseudo GNSS Interference Detection via Node Time Offset Analysis
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Solution Overview
Problem
Current methods lack an efficient and proprietary way to detect pseudo Global Navigation Satellite System (GNSS) interference, leading to errors in base station synchronization, reduced call completion rates, and increased call drop rates, requiring complex and inefficient manual interventions by skilled professionals.
Innovation Solution
A method involving the acquisition and analysis of time offsets between nodes to determine if pseudo GNSS interference is present, using absolute, relative, or priority detection modes, with an apparatus configured to calculate and compare fluctuation standard lines to generate alarms for affected nodes, improving Operation Administration and Maintenance (OAM) performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual intervention by skilled professionals is used to detect pseudo GNSS interference, then detection accuracy can be maintained, but operation complexity and time consumption increase significantly
Solution Approach 1:
The base station automatically performs pseudo GNSS interference detection by acquiring time offset information from multiple nodes, calculating fluctuation standard lines, and determining interference presence without requiring manual intervention. The system serves itself by using its own receiver and processing capabilities to detect interference affecting its timing synchronization.
Solution Approach 2:
The patent replaces manual mechanical detection methods with automated electronic processing. The base station's receiver and processor automatically acquire time offset data, calculate statistical parameters, and determine interference conditions, substituting the need for professionals to physically travel with electronic equipment and perform manual analysis.
2Reliability
If manual detection methods are used to identify affected base stations, then detection thoroughness can be ensured, but productivity and response time decrease
Solution Approach 1:
The base station continuously acquires time offset information from multiple nodes and continuously calculates fluctuation standard lines to detect pseudo GNSS interference. This continuous automated monitoring ensures thorough detection while maintaining high productivity, as the process occurs automatically without interruption or manual intervention.
Solution Approach 2:
The patent introduces time offset information as an intermediary parameter that mediates between the GNSS signals and the interference detection process. By analyzing fluctuations in time offset data from multiple nodes, the system thoroughly detects interference while maintaining efficient automated operation, eliminating the need for direct manual measurement.
3Measurement precision
If professional electronic equipment and on-site analysis are used to detect pseudo GNSS interference, then measurement accuracy is maintained, but time consumption and operational cost increase
Solution Approach 1:
The base station preliminarily prepares by continuously acquiring and storing time offset information from multiple nodes before interference occurs. When interference is present, the system immediately calculates fluctuation standard lines and detects anomalies, enabling rapid accurate detection without requiring professionals to travel with equipment and perform on-site analysis.
Solution Approach 2:
The base station's receiver and processor perform multiple functions: they acquire GNSS signals for timing synchronization, collect time offset information from multiple nodes, calculate fluctuation standard lines, and detect pseudo GNSS interference. This multi-functionality enables accurate interference detection using existing infrastructure, eliminating the need for specialized portable equipment and expert intervention.
Data Source
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AI summary
A method, device and system for detecting pseudo GNSS interference. The method comprises: acquiring a time deviation between any two nodes of M nodes within a first pre-set time, wherein M is an integer greater than or equal to 2 (200); and determining, according to the time deviation between any two nodes of the M nodes within the first pre-set time, whether N nodes are affected by pseudo GNSS interference, wherein N is an integer greater than or equal to 1 (201).