The Power Spectrum Estimation of Signal Based on Neural Networks

Abstract

In this paper, in order to extract the needed information from Wireless Signal Detector, some different frequently–used methods and the related parameter estimation algorithms are compared. Besides, a new method is proposed based on signal spectrum estimation of neutral net which was used to compute signal power spectrum estimation. By simulating the practical data on MATLAB, the factor of neural network can be trained to extract the signal spectrum. The velocity of spectrum estimation is far better than some other algorithm of AR model spectrum estimation method when using proposed method, and spectral estimation quality consistent.