火力与指挥控制2025，Vol.50Issue(3)：92-101,10.DOI:10.3969/j.issn.1002-0640.2025.03.013
基于DSP平台的旋翼无人机微动特征提取方法
Method for Extracting Micro Motion Features of Rotor Unmanned Aerial Vehicles Based on DSP Platform
叶祥龙 1张柯 1宋程程 1尹湘凡 1梁琴1
作者信息
- 1. 四川九州电器集团有限责任公司,成都 610002
- 折叠
摘要
Abstract
As for the problem of extraction of the micro-motion features of rotor UAVs,firstly,the theoretical model of the echo characteristics of the micro-motion target in the Frequency Modulated Continuous Wave(FMCW)system is established,then,according to the actual scenario,the simulation parameters for the frequency modulated continuous wave radar are set.By simulating the process of transmitting LFM signal and receiving the echo of rotor UAV of frequency modulated continuous wave (FMCW)system radar,the characteristics of the echo are simulated and analyzed. On the basis of the above simulation analysis,a framework of micro-motion feature extraction algorithm for rotor UAV is proposed. Finally,based on the algorithm framework of DSP platform,a spectral peak estimation algorithm based on median filtering is proposed,which can quickly estimate the maximum micro Doppler frequency to obtain the maximum rotor speed of the UAV. At the same time,a method for estimating the number of rotation axes of UAV is proposed,Since there is a slight difference between the rotation speed of the rotation axis of UAV,and the second harmonics on the spectrum amplify the difference,the number of rotation axes can be estimated by finding the number of second harmonics on the spectrum.The running time of the whole algorithm framework on the DSP platform is maintained at about 20 ms.关键词
回波特性理论建模/回波微动特性仿真/微动特征提取算法框架/中值滤波/谱峰估计/旋转轴数量估计Key words
the theoretical modeling of the echo characteristics/simulation of micro-motion characteristics of echoes/micro-motion feature extraction algorithm framework/median filtering/spectral peak estimation/estimation of the number of rotation axes分类
信息技术与安全科学引用本文复制引用
叶祥龙,张柯,宋程程,尹湘凡,梁琴..基于DSP平台的旋翼无人机微动特征提取方法[J].火力与指挥控制,2025,50(3):92-101,10.
