对称相关用于直升机声信号特征提取  

The Application of Symmetric Correlation Function in Feature Extraction of Helicopter Acoustic Signal

作　　者：徐桂芳[1,2] 高勇[1] 

机构地区：[1]四川大学电子信息学院,四川成都610065 [2]四川大学锦江学院电子信息工程系,四川彭山620860

出　　处：《探测与控制学报》2010年第3期22-26,共5页Journal of Detection & Control

基　　金：国防预研基金项目资助(JG2007056)

摘　　要：针对直升机声信号中混有与信号不相关的随机噪声,提出了一种将对称相关函数法和MUSIC算法相结合的直升机声目标特征提取新方法。采用MUSIC算法提取直升机声信号的对称相关函数的谐波频率,从而可以得到直升机声信号的谐波频率,将其作为目标特征。计算机仿真结果表明:与传统方法相比,该方法可以抑制噪声,突出谱峰位置,准确地体现直升机声信号的谐波特性。A method of combining symmetric correlation function and multiple signal classification（MUSIC） algorithm was proposed to extract the features of helicopter acoustic signal,for the helicopter acoustic signal mixed with stationary random noise.Assumption was that the signal and the noise were mutually uncorrelated.The harmonic frequency was extracted by MUSIC algorithm,as the characteristics of acoustic target could be derived from its symmetric correlation function.Compared with conventional method,the simulation results showed that this method could suppress the noise,extrude the peak of spectrum and extract the hamonic frequecy of helicopter acoustic signal accurately.

关 键 词：直升机声信号 特征提取 对称相关函数 MUSIC算法 

分 类 号：TN911.6[电子电信—通信与信息系统] V217.1[电子电信—信息与通信工程]