Ultra-wide band Radar is one of the trends in modern Radar technology because of its ability in super-resolution. Wavelets analysis is a promising approach to process ultra-wide band Radar signal. It has tremendous potential to combine wavelets with ultra-wide band Radar. The main achievement of this dissertation can be summarized as follows:1.The basic theory of wavelet and multiresolution analysis. we discuss the arithmetic of decomposing and restructuring, and give a example of a signal decomposedand restructured.2. We discuss a data acquisition system by using multi-channel structure based on multirate sampling, and discuss the problem that it isn't a ideal system. Second, a data acquisition system by using multi-channel structure based on wavelet and multiresolution is proposed. So,we can finish the collection and resume of signal by using the data acquisition system by using multi-channel structure based on wavelet and multiresolution.3. We design the QMF based on the criteria of minimum frequency bandwidth and the QMF that possess linear phase, and give a example of a signal decomposed and restructured.4.In the research of channel dropping filters, we use 5 rank Butterworth filter to approach the digital filter. We design LC unpower netwok and RC power network.We manufacture LC Lowpass and highpass filter,and test their performance;We simulate the appliance of the channel dropping filters in the system.5. Design the digital correctional filter to correct the amplitude and frequency response of the reconstruct filter,and acquire satisfact effect. |