基于空间变换技术的脉冲激光声信号检测  

Stable tracking of uav navigation signal based on adaptive filtering algorithm

作　　者：田巧玉[1] 李星海 廖均梅[1] TIAN Qiaoyu;LI Xinghai;LIAO Junmei(Sichuan University Jinjiang College,Meishan Sichuan 620860,China)

机构地区：[1]四川大学锦江学院,四川眉山620860

出　　处：《激光杂志》2024年第4期271-277,共7页Laser Journal

基　　金：四川省科技厅项目(No.21YYJC2191)。

摘　　要：针对目前脉冲激光声信号检测方法极易受到环境噪声的影响,导致检测精确度不理想的问题。提出基于空间变换技术的脉冲激光声信号检测方法。首先,采用小波阈值法去除脉冲激光声信号中的噪声;其次,利用球傅里叶空间变换技术对声信号中的声源展开定位,获取声信号的准确位置;最后,分别提取声信号中的比值特征、比重特征、频率特征三种参数,在此基础上通过SVM算法对其展开分类识别,以此实现脉冲激光声信号的有效检测。实验结果表明,所提方法的声信号检测精度超过96%。The current pulse laser acoustic signal detection methods are highly susceptible to environmental noise,resulting in unsatisfactory detection accuracy.Propose a pulse laser acoustic signal detection method based on spatial transformation technology.Firstly,the wavelet threshold method is used to remove noise from the pulse laser acoustic signal;Secondly,using spherical Fourier space transformation technology to locate the sound source in the acoustic sig-nal and obtain the accurate position of the acoustic signal;Finally,the ratio feature,specific gravity feature,and fre-quency feature of the acoustic signal are extracted separately,and based on this,SVM algorithm is used to classify and recognize them,in order to achieve effective detection of pulsed laser acoustic signals.The experimental results show that the acoustic signal detection accuracy of the proposed method exceeds 96%.

关 键 词：空间变换技术 脉冲激光 声信号 小波阈值 球傅里叶变换 SVM算法 

分 类 号：TN911[电子电信—通信与信息系统]