Point-to-Point Radio Link Disturbance Classification
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Solution Overview
Problem
Current methods fail to accurately distinguish between frequency-dependent and frequency-independent disturbance events in point-to-point radio communication links, leading to inaccurate feedback and increased costs due to similarities in data patterns from windy conditions and multipath propagation.
Innovation Solution
A point-to-point radio link arrangement with two link nodes operating on different carrier frequencies, utilizing a classification unit to compare data over a time window and determine whether disturbances are frequency-dependent or frequency-independent, enabling more accurate identification and classification of disturbance events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If single carrier frequency monitoring is used, then device complexity is reduced, but measurement precision deteriorates due to inability to distinguish frequency-dependent disturbances
Solution Approach 1:
The patent segments the monitoring approach by using multiple carrier frequencies (first and second frequencies) to monitor the radio link. This segmentation allows the system to distinguish between frequency-dependent disturbances (which affect only one frequency) and frequency-independent disturbances (which affect both frequencies similarly), thereby improving measurement precision without excessive complexity increase
Solution Approach 2:
The patent changes the monitoring parameter from single-frequency power/attenuation measurement to multi-frequency comparative measurement. By comparing link data from at least two different carrier frequencies, the system can identify frequency-dependent disturbance patterns, improving classification accuracy while maintaining reasonable system complexity
2Measurement precision
If multi-frequency monitoring is implemented, then disturbance classification accuracy is improved, but device complexity increases due to additional link nodes and frequency management
Solution Approach 1:
The patent makes the link nodes multi-functional by having them perform both communication functions and monitoring functions simultaneously. The same link nodes that transmit data traffic also monitor link quality at multiple frequencies, eliminating the need for separate dedicated monitoring equipment and reducing overall system complexity
Solution Approach 2:
The patent merges the monitoring functionality with the existing communication infrastructure. By combining disturbance detection with normal data transmission operations and using the same hardware resources for both purposes, the system achieves accurate multi-frequency monitoring without proportionally increasing device complexity
3Productivity
If frequency-independent disturbance filtering is applied, then productivity is improved by reducing false alarms, but loss of information occurs when frequency-dependent disturbances are misclassified
Solution Approach 1:
The patent implements feedback by continuously comparing link data from multiple frequencies and using this comparison to refine disturbance classification. The system provides feedback to operators about the specific type of disturbance detected (frequency-dependent vs. frequency-independent), preventing misclassification and ensuring appropriate maintenance actions are taken
Data Source
AI summary
The present disclosure relates to a point to point radio link arrangement (100, 600) comprising at least two link nodes (110, 120; 610, 620). A first link node (110, 610) is arranged to obtain first link data (X1) over a first carrier frequency, and a second link node 5 (120, 620) is arranged to obtain second link data (X2) over a second carrier frequency separate from the first carrier frequency. The link arrangement (100, 600) further comprises a classification unit (130, 630) arranged to obtain the link data (X1, X2) from the link nodes (110, 120; 610, 620) and to determine if the link data (X1, X2) are affected by either a frequency dependent disturbance event or by a frequency independent 10 disturbance event. This is accomplished by comparing the first link data (X1) to the second link data (X2) over a time window (T). The classification unit (130, 630) is also arranged to output disturbance event decision data (Y) in dependence of whether the link data (X1, X2) have been determined to be affected by either a frequency dependent disturbance event or a frequency independent disturbance event.