一种基于时频特征匹配的碰撞跳频信号分选方法

CN122137455BActive Publication Date: 2026-07-17NANJING UNIV OF POSTS & TELECOMM

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NANJING UNIV OF POSTS & TELECOMM
Filing Date
2026-04-30
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies lack accuracy in collision frequency hopping signal sorting scenarios, especially in traditional template matching methods, which are prone to erroneous and duplicate matching, resulting in missing frequency hopping sequences and affecting the reliability of spectrum monitoring and analysis.

Method used

A time-frequency feature matching-based method is adopted, which uses adaptive binarization, opening operation, connected component decision, parameter extraction and DBSCAN clustering, combined with fill factor, overlap rate and time interval constraints, to achieve accurate separation and classification of collision frequency hopping signals.

Benefits of technology

It improves the accuracy of collision frequency hopping signal sorting, avoids incorrect and repeated matching, preserves a more complete frequency hopping sequence, and enhances the reliability of spectrum monitoring.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122137455B_ABST
    Figure CN122137455B_ABST
Patent Text Reader

Abstract

本申请属于卫星通信领域,公开了一种基于时频特征匹配的碰撞跳频信号分选方法,包括:对输入时频图进行预处理,即依次进行自适应二值化和开运算;其次是进行信号检测,在预处理后的时频图上进行连通域判决,然后提取出时频特征参数;最后是进行信号分选,对时频特征参数进行聚类,并采用时频特征匹配对碰撞跳频信号进行处理。本申请所提出的时频特征匹配引入填充因子、重叠率与时间间隔约束,有效提升了噪声背景下碰撞跳频信号的分选准确度。
Need to check novelty before this filing date? Find Prior Art