کنفرانس مهندسی برق ایران

صفحه اصلی / سی و یکمین کنفرانس بین المللی مهندسی برق

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

نویسندگان :

Navid Moradi¹ Mohsen Nezhadshahbodaghi² Mohammad-Reza Mosavi³

1- دانشگاه علم و صنعت ایران 2- Iran University of Science and Technology (IUST) 3- Iran University of Science and Technology (IUST)

کلمات کلیدی :

GPS،Deep Learning،Wavelet Transform،Acquisition،Convolutional Neural Network

چکیده :

Global Positioning System (GPS) signals are weakened by various phenomena and factors During the satellite-receiver path. This incident causes problems in different stages of GPS signal processing and correct positioning. To denoise GPS signals, Wavelet Transform (WT) is often used, which increases the sensitivity of GPS receivers to acquire weak GPS signals. In order for denoising to work efficiently, it is important to select the right and best 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 improves the sensitivity of GPS receivers.

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بیشتر

ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.3.2