差动滤波法在弱信号检测及处理中的应用研究

弱信号检测及处理是雷达、声纳、通讯以及物理中微小量测量等工程技术领域中普遍存在的一个难点。差动滤波分析法是将其在时域、频域、时频域上进行各种变换然后再进行差分处理，把有用的信号过滤出来。将该信号在时域的波形图绘出，再对其进行傅立叶变换，之后用其结果在频域上绘制图形，这样就可以得到所需要的信号并对该信号进行分析。主要手段是运用人工神经网络的方法进行信号特征辨识以及在复杂背景下弱信号的检测，必要时也应用其他的信号处理方法作为补充，就可以达到检测与处理微弱信号的目的。

Applied Research of Differential Filtering Method in Weak Signal Detection and Processing

The weak signal detection and processing is a ubiquitous tough problem in the engineering technology fields of radar, sonar, communications and micro amount measurement in physics and so on. The differential filtering analysis method is to transform the signals in time domain, frequency domain and time-frequency domain, and then to process them by using differential processing method, and finally the useful signals are easily leached from them. The waveform graphs of the signals in time domain are drawn and transformed in Fourier transformation, and the result is used to re-draw the graphics in frequency domain. Thus, the required signals can be obtained and analyzed. The main means is to use artificial neural network method to identify the signal characteristics and detect the weak signals under the complex background. And if necessary, other methods of signal processing can be used as a supplementary to achieve the objective for detection and processing of weak signals.