A Study on High Precision Leak Detection of Chaotic Radar by Wavelet Transform

A new method of pipeline leak detection and location is proposed. The cross-correlation function and the peak signal-to-noise ratio of the radar echo signal of the UWB signal chaotic signal is studied by using its strong anti鄄jamming and randomness. At the receiver, the wavelet threshold denoising and data analysis of the radar echo signal are used to investigate the denoising effect of the wavelet base sym4 in the 3, 4, 5 layer wavelet decomposition, and efficiently increase the detection precision of the pipeline leak. The results show that the wavelet base sym4 can obtain the best denoising effect by using the hard threshold method of 4-layer decomposition in the case of 5 dB Gaussian white noise. In the case of adding 5 dB Gaussian white noise, the peak signal to noise ratio method, the use of 5-layer decomposition of the hard threshold method can achieve the best denoising effect, in order to achieve higher accuracy.