CAJ | 학술논문

估计线性调频信号的瞬时频率和调制参数,是进一步获得脉内特征并最终识别信号的基础。线性调频信号模型由软件编程产生,引入瑞利分布高斯谱模型来模拟背景杂波。提出采用小波包分析方法进行消噪处理,以瞬时自相关算法估计信号的瞬时频率,进而求出调制参数。瞬时自相关算法进行了滑动平均改进。计算机仿真实验得到瞬时自相关算法估计瞬时频率的误差,误差显示其估计值可以满足信号识别的需求。
고계선성조빈신호적순시빈솔화조제삼수,시진일보획득맥내특정병최종식별신호적기출。선성조빈신호모형유연건편정산생,인입서리분포고사보모형래모의배경잡파。제출채용소파포분석방법진행소조처리,이순시자상관산법고계신호적순시빈솔,진이구출조제삼수。순시자상관산법진행료활동평균개진。계산궤방진실험득도순시자상관산법고계순시빈솔적오차,오차현시기고계치가이만족신호식별적수구。
Estimating the instantaneous frequency and modulation parameters of linear frequency modulation（LFM） signal is the base to further fetch the intrapulse characteristics and finally identify the signal.The LFM signal model is generated by software programme,the Rayleigh distribution Gauss spectrum model is introduced to simulate the background clutter.This paper presents to use the wavelet envelop analysis method to perform the noise elimination,uses the instantaneous auto-correlation algorithm to estimate the instantaneous frequency of signals,thereby deduces the modulation parameter.The instantaneous auto-correlation algorithm is improved through sliding average.Through the computer simulation experiment,the estimated instantaneous frequency error through the instantaneous auto-correlation algorithm is fetched,and the error shows the estimated value can satisfy the requirement of signal identification.