基于小波变换的微弱信息检测研究  

Research on weak information detection based on wavelet transform

作　　者：王月[1] WANG Yue(Tonghua Normal University,Tonghua 134000,China)

机构地区：[1]通化师范学院,吉林通化134000

出　　处：《现代电子技术》2018年第19期71-74,78,共5页Modern Electronics Technique

摘　　要：传统微弱信息检测方法不能过滤纯噪信号,常因纯噪信号幅值、强度过大,造成信息检测结果失真。为解决此问题,设计基于小波变换的微弱信息检测模型。通过微弱信息小波分解尺度确定、小波作用阈值改进、微弱信息小波变换系数重构,完成微弱信息的小波变换去噪;通过小波Duffing振子重构信号检测、微弱信息待测信号频率确定、微弱信息幅值测量,完成基于小波变换微弱信息检测模型的搭建。模拟该模型的使用环境,设计对比实验。结果表明,应用基于小波变换微弱信息检测模型后,纯噪信号幅值与强度明显降低。The traditional weak information detection method can′t filter the pure noise signal,and may cause the distortion of the information detection result due to the high amplitude and strong intensity of the pure noise signal.Therefore,a weak information detection model based on wavelet transform is designed to solve the above problem.The wavelet transform denoising of the weak information is accomplished by means of determination of wavelet decomposition scale of weak signal,improvement of the wavelet action threshold and reconstruction of the wavelet transform coefficients of weak information.The weak information detection model based on wavelet transform is built by means of detection of wavelet Duffing oscillator reconstruction signal,determination of signal frequency of weak information,and amplitude measurement of weak information.The service environment of the model is simulated.The contrast experimental results show that the amplitude and intensity of the pure noise signal are significantly reduced by using the weak information detection model based on wavelet transform.

关 键 词：小波变换 微弱信息检测 去噪分析 DUFFING振子 信号检测 幅值测量 

分 类 号：TN911-34[电子电信—通信与信息系统]