【摘要】 根据无线电引信回波多普勒信号功率主要集中在低频部分的特点,对淹没在噪声中的无线电引信回波信号进行小波分解,提取在不同频带内信号能量作为特征,用小波神经网络对目标进行检测。针对不同信嗓比,对某典型无线电引信回波信号进行定量研究,实现结果表明该方法是有效的。更多还原

【Abstract】 Feature extraction of radio fuze signal using wavelet transform is discussed in this paper.The signal is first de- composed by wavelet transform,and on the basis,the decomposed coefficicients are reconstructed to form a new time series,from which some energy parameters can be extracted by time-domain analysis.The target signal is detected by wavelet neural network.The effectiveness of the method is verified by a typical radio fuze signals with defferent signal to noise ratio(SNR).更多还原