A multi-system adaptive switching radio direction finding method and system

CN121856894BActive Publication Date: 2026-06-26CCCC REMOTE SENSING TIANYU TECH JIANGSU CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CCCC REMOTE SENSING TIANYU TECH JIANGSU CO LTD
Filing Date
2026-03-18
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing multi-system radio direction finding systems struggle to achieve accurate direction of arrival estimation in complex electromagnetic environments because fixed system switching strategies cannot adapt to dynamic changes in the interference situation, resulting in insufficient system adaptability and switching delays or erroneous switching.

Method used

By establishing a correlation evaluation benchmark between signal modulation characteristics and electromagnetic interference characteristics, sensitive areas of system mismatch are identified, interference shielding effect assessment and system coverage margin are generated, system competitive advantage decline analysis is conducted, adaptive switching index is constructed, system switching timing is dynamically adjusted, and optimal system migration is achieved.

Benefits of technology

It improves the accuracy and stability of the direction of arrival determination results in complex electromagnetic environments, avoids switching lag and misjudgment, and ensures the high efficiency of the direction finding system in dynamic interference environments.

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Abstract

The application discloses a multi-system adaptive switching radio direction finding method and system, constructs a system evaluation benchmark by collecting signal modulation characteristic parameters and electromagnetic environment interference characteristic data, identifies a system mismatch sensitive area and generates an interference weight distribution diagram and a system coverage margin; performs system competitive advantage recession analysis on both, generates a switching urgency grade and constructs a graded switching index set; obtains a deterioration offset coefficient by tracking a performance deterioration trend, performs threshold correction on real-time switching indexes to generate adaptive switching indexes and switching coordination parameters; tracks a system performance evolution track based on the switching coordination parameters and the interference weight distribution diagram, identifies an optimal system migration trigger point, completes optimal direction finding system selection and outputs a coming wave direction measurement result. The application realizes adaptive perception of electromagnetic environment changes and dynamic optimization of system switching, and improves the accuracy and continuity of coming wave direction measurement in a complex interference environment.
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