Wireless Node Phase Analysis for Feeder Port Connection Verification
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Solution Overview
Problem
Existing wireless communication nodes face challenges in accurately identifying and correcting feeder port connections to antenna ports, particularly in array antenna systems, leading to distorted beam patterns due to incorrect cabling, which is difficult to verify and correct, especially in high-mast installations.
Innovation Solution
A wireless communication node equipped with signal analyzing means to calculate phase differences between antenna elements, a phase progression function handling means, connection combination handling means, and error detecting means to identify the correct feeder port connection order by fitting ordered phase angles or phase differences to the phase progression function, thereby determining connection errors and correcting them automatically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If manual marking methods are used to identify cable connections, then the complexity of connection identification is reduced, but the reliability of correct connection is insufficient
Solution Approach 1:
The patent replaces manual mechanical marking methods with an automated electronic identification system. The system uses signal analysis, phase difference calculation, and automated cable identification to determine connection relationships, eliminating the need for manual marking while significantly improving connection identification reliability through objective measurement and computational analysis.
2Reliability
If physical verification of cabling is performed manually, then connection errors can be detected, but the time consumption and difficulty increase significantly
Solution Approach 1:
The system enables automated self-verification of cable connections by using signal transmission and phase difference analysis to automatically identify connection relationships. The network device sends test signals through feeder cables to antenna elements and automatically calculates connection mappings, eliminating the need for time-consuming manual physical verification while maintaining high detection accuracy.
3Adaptability or versatility
If the number of feeder cables is increased to cover more antenna elements, then the beamforming capability is improved, but the difficulty of tracking and verifying connections increases
Solution Approach 1:
The patent introduces an automated connection identification system that acts as an intermediary between the complex cable network and the control system. This intermediary uses signal analysis and phase difference calculation to automatically track and identify connections among multiple feeder cables and antenna elements, making the management of large-scale cable systems feasible without proportionally increasing verification difficulty.
Data Source
AI summary
The present invention relates to a wireless communication node (20A) connected to an antenna part (10A) with a plurality of antenna elements (1A, 2A, 3A, 4A) and antenna ports (11A1, 11A2, 11A3, 11A4) over feeder ports (21A1, 21A2, 21A3, 21A4). It comprises signal analyzing means (21A) adapted to analyze a signal received from a mobile station, and to, for each pair of antenna elements (1A, 2A, 3A, 4A), calculate the respective phase difference or phase angle between the signals from the elements of the pair, phase progression function handling means (26A) for calculating a phase progression function over the antenna ports, connection combination handling means (24A) adapted to find all possible combinations of connections between the antenna ports and the feeder ports and the corresponding phase angles or phase differences. It further comprises ordering means (25A) adapted to order said phase angles/phase differences, and fitting and error detecting means adapted (27A) to fit the ordered phase angles/differences to the phase progression function to find the errors between the ordered, calculated phase differences or phase angles corresponding to each connection combination and the phase progression function and to identify the connection combination for which the error of the fit is lowest.