Weak GPS Signal Acquisition Based on Wavelet Transform Denoising and Deep Learning Method

Global Positioning System (GPS) signals are weakened by various phenomena and factors in the path from the satellite to the receiver. This incident causes problems in different stages of GPS signal processing and correct positioning. To denoising GPS signals, wavelet transform (WT) is one of the most widely used tools, which increases the sensitivity of GPS receivers to acquire weak GPS signals. One of the most effective factors in the efficiency of the denoising process is the selection of the appropriate mother wavelet. Considering this issue, we propose a quantitative method for choosing the proper mother wavelet in this paper. Also, we investigate the usage of deep learning in signal acquisition to acquire GPS signals when physics-based models do not work correctly and normal conditions do not hold. The proposed method combines the WT denoising method and the deep learning method. The experiment results show that the proposed method improved the sensitivity of GPS receivers.