A method for OcuSync signal detection based on ZC sequence correlation accumulation

By using a signal detection method based on ZC sequence correlation accumulation, the problem of detecting DJI OcuSync signals in complex electromagnetic environments was solved, achieving high-sensitivity signal capture and recognition, and improving the stability and accuracy of detection.

CN122420186APending Publication Date: 2026-07-17ZHEJIANG SCI-TECH UNIV

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ZHEJIANG SCI-TECH UNIV
Filing Date
2026-05-12
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing passive detection technologies face problems such as poor adaptability to fixed thresholds and low capture rate of weak signals when detecting DJI OcuSync series protocol signals. In particular, it is difficult to accurately extract cross-correlation peaks in complex electromagnetic environments, resulting in high false alarm rate and high false detection rate.

Method used

A signal detection method based on ZC sequence correlation accumulation is adopted, which achieves high-sensitivity capture and recognition of OcuSync signals through signal preprocessing, feature root index locking, sliding cross-correlation operation, multi-frame incoherent accumulation and dynamic decision threshold construction.

Benefits of technology

It effectively suppresses random noise, improves signal acquisition depth in extremely low signal-to-noise ratio environments, ensures stable detection performance in complex electromagnetic environments, reduces false alarm rate, and improves detection robustness.

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Abstract

本发明提供了一种基于ZC序列相关累积的OcuSync信号检测方法,属于无线电通信及信号检测技术领域。该方法首先对接收信号进行归一化处理以消除远近效应;然后通过锁定特征根索引构建本地ZC模板进行滑动互相关运算,实现能量聚集;针对背景噪声非平稳的情况,通过提取相关谱的一阶矩与二阶累积量构建自适应判决门限;最后利用信号固有的周期性发射特征进行多帧非相干累积增强。本发明通过自适应门限与周期性累积机制的结合,有效抑制了瞬时噪声扰动,显著提升了低信噪比环境下的信号捕获能力,解决了非合作环境下微弱信号检测难题。
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