Low-orbit l-band phased array terminal radio frequency fault self-diagnosis method and system

By constructing a multi-dimensional data acquisition channel and improving the DBSCAN algorithm, combined with advanced algorithm modeling, real-time detection and accurate location of radio frequency faults in low-orbit L-band phased array terminals were achieved, solving the problems of reliance on manual detection and low positioning accuracy in existing technologies.

CN122372047APending Publication Date: 2026-07-10GUANG ZHOU CHINA SHIPPING TELECOMM CO LTD +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
GUANG ZHOU CHINA SHIPPING TELECOMM CO LTD
Filing Date
2025-12-26
Publication Date
2026-07-10

AI Technical Summary

Technical Problem

Existing phased array terminal fault diagnosis methods rely on manual inspection, have poor real-time performance, lack multi-dimensional data fusion analysis, have low positioning accuracy, and are difficult to adapt to dynamic parameter changes in low-Earth orbit environments.

Method used

A multi-dimensional data acquisition channel for the radio frequency link is constructed. An improved DBSCAN algorithm and advanced algorithm modeling are adopted. Real-time detection and accurate location of radio frequency faults are achieved through multi-dimensional data fusion. The data with the greatest contribution to the fault and the corresponding radio frequency link unit are determined by using fault diagnosis benchmark parameters.

Benefits of technology

It enables real-time detection and precise location of radio frequency faults in low-orbit L-band phased array terminals, improving the real-time performance and location accuracy of fault diagnosis.

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Abstract

This invention discloses a self-diagnostic method and system for radio frequency (RF) faults in a low-Earth orbit (LEO) L-band phased array terminal. The method includes: firstly, constructing a multi-dimensional data acquisition channel for the RF link to collect target parameters of the LEO L-band phased array terminal's RF link; preprocessing the target parameters to obtain standard data; using an improved DBSCAN algorithm to divide the standard data, generating normal mode data and abnormal mode data, and extracting the abnormal mode data as fault diagnosis benchmark parameters; constructing a RF fault prediction model for the LEO L-band phased array terminal, and using the fault diagnosis benchmark parameters to determine the data with the greatest contribution to the fault and the corresponding RF link unit, thereby achieving RF fault location and diagnosis in the phased array terminal. It enables real-time detection and accurate location of RF faults in LEO L-band phased array terminals.
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