Wavelet-based method for weak satellite signal acquisition

Author

Lei, Nana ; Zhu, Hao ; Cui, Jianyong

Author_Institution

Sch. of Inf. Eng., Zhengzhou Univ., Zhengzhou, China

fYear

2011

fDate

16-18 Dec. 2011

Firstpage

2487

Lastpage

2490

Abstract

A novel method of differential coherent integration (DFC) algorithm combined with wavelet transform is proposed to acquire the weak global positioning system (GPS) signal parameters. The paper compared this proposed method with the traditional weak satellite signal acquisition algorithms to verify its feasibility. This method utilizes wavelet de-noising for the result of DFC to improve the Signal-to-Noise ratio (SNR) of acquisition process. Simulations demonstrate that the proposed method is better than DFC in obtaining larger acquisition output SNR.

Keywords

Global Positioning System; satellite communication; signal denoising; signal detection; wavelet transforms; differential coherent integration algorithm; signal-to-noise ratio; wavelet denoising; wavelet transform; wavelet-based method; weak global positioning system signal parameters; weak satellite signal acquisition; Correlation; Global Positioning System; Noise reduction; Satellites; Signal to noise ratio; Wavelet transforms; DFC; GPS; SNR; acquisition; wavelet de-noising;

fLanguage

English

Publisher

ieee

Conference_Titel

Transportation, Mechanical, and Electrical Engineering (TMEE), 2011 International Conference on

Conference_Location

Changchun

Print_ISBN

978-1-4577-1700-0

Type

conf

DOI

10.1109/TMEE.2011.6199726

Filename

6199726