一种无人机竞速运动的信号频率分析方法及系统
By constructing a three-dimensional coordinate system and dividing the track area in UAV racing, and optimizing the wavelet decomposition level for adaptive denoising, the accuracy and stability issues of signal frequency analysis in UAV racing are solved, improving the accuracy of frequency extraction and the reliability of UAV flight control.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ZHEJIANG YUNDUOWANG TECH CO LTD
- Filing Date
- 2026-04-13
- Publication Date
- 2026-07-17
AI Technical Summary
Existing signal frequency analysis methods in drone racing struggle to balance accuracy and stability when dealing with complex tracks, especially when using fixed wavelet decomposition levels, resulting in poor frequency extraction performance.
By constructing a three-dimensional coordinate system for the track, collecting historical flight data, dividing regions with similar motion response characteristics, optimizing the optimal wavelet decomposition level for each region, performing adaptive wavelet denoising processing on the matched regions in real time, and extracting instantaneous frequencies.
It significantly improves the accuracy and adaptability of instantaneous frequency extraction, reduces interference in complex channel environments, and enhances the reliability of UAV flight control systems and the accuracy of navigation timing.
Smart Images
Figure CN122020141B_ABST