Research on image amplitude acquisition and denoising based on wireless charging positioning system

Located in wireless charging system, the receiver and the transmitter coil accurate alignment is a way to improve transmission efficiency. But the noise in the image acquisition interface will interfere with the acquisition of information, affecting the process of coil alignment in the process of extraction and identification. In this paper, the clustering analysis method is used to compute the set of data points, which is divided into noise set and effective point set by mapping of composite. The data set is orthogonally transformed, polarized, sparsely formed, easy to classify, and remove noise. Experiments show that the classification method has obvious effect, and the noise is removed correctly, and the peak signal to noise ratio is improved by 5% by improving the weight processing method. In this paper, the noise distribution characteristics are analyzed, the sparse expression is realized by orthogonal transform and the noise is removed by iterative mixed weighting.