基于相关检测的旋翼无人机检测与识别方法

Rotor UAV detection and recognition method based on correlation detection

针对复杂杂波背景环境下无人机目标旋翼回波信噪比低导致检测与识别困难的问题,提出了一种基于相关检测的旋翼无人机检测与识别方法。该方法首先利用信号相关性对目标进行检测,得到无人机各旋翼的初始相位差。然后在相关检测结果的基础上,对回波信号进行积累以提高信噪比。最后将积累后的回波信号进行时频分析得到无人机的目标特征信息,从而有更加效地检测与识别无人机目标。仿真结果表明,相关检测方法能够提高低信噪比条件下的目标检测性能,积累后回波信号进行目标识别,可以更加有效地提取旋翼无人机的目标特征。

Aiming at the problem that the SNR of the UAV target rotor′s echo is low make difficult to detect and identify the target under the complex clutter background environment,a detection and identification method of the rotor UAV based on correlation detection is proposed.First,this method detects target by signal correlation,obtains the initial phase difference of each rotor of the UAV.Then,based on the correlation detection results,accumulates echo signals to improve the SNR.Finally,time-frequency analysis of the echo signals after accumulated to obtain the target feature information of the UAV,so as to detect and recognize the UAV target more effectively.The simulation results show that the correlation detection methods can improve the target detection performance under a SNR conditions,and accumulate the echo signals for target recognition,which can more effectively extract the target characteristics of the rotor UAV.