CAJ | 학술논문

自动小音点测向法,首先对测向信道接收机输出的连续信号进行抽样,将连续的模拟信号转换成离散的数字信号,之后,在频域上进行处理,主要是对模拟信号进行FFT变换处理,其缺点是FFT变换的窗口函数大小、形状均固定不变,这对于分析时变信号是不利的。文中提出基于小波算法的最小信号测向方法,该方法利用小波变换对时、空域突变信号的敏感特性,可以更准确地捕捉＂小音点＂,从而提高测向精度。
자동소음점측향법,수선대측향신도접수궤수출적련속신호진행추양,장련속적모의신호전환성리산적수자신호,지후,재빈역상진행처리,주요시대모의신호진행FFT변환처리,기결점시FFT변환적창구함수대소、형상균고정불변,저대우분석시변신호시불리적。문중제출기우소파산법적최소신호측향방법,해방법이용소파변환대시、공역돌변신호적민감특성,가이경준학지포착＂소음점＂,종이제고측향정도。
Automatic min-sound direction-finding first samples the continuous signal output by receiving set,and converts the continuous signal into digital signal.Then the signal is processed on frequency domain,and its Fast Fourier transform is principally done.The disadvantage of this method is the fixed size and shape of window function for FFT transform.And this would do harm to the analysis of time-domain signal.This paper proposes a algorithm for extracting min-sound based on wavelet transform,which utilizes the sensitivity of wavelet transform to burst signal in time and special domain,thus could capture the min-sound accurately and improve direction-finding accuracy.