Information identification algorithm for satellite navigation under hostile interference

Author

Shi, Yangchun ; Wang, Jing

Author_Institution

Lab. of SoC, Xi´´an Microelectron. Technol. Inst., Xi´´an, China

fYear

2011

fDate

16-18 April 2011

Firstpage

1340

Lastpage

1343

Abstract

An information identification algorithm (IIA) for satellite navigation system was proposed in this paper. It uses the fuzzy step size least-mean-square (FLMS) adaptive filter and power distributing predominance wavelet packets transform (PDP-WPT) to eliminate the hostile interference in the process of information identification. Compared with the conventional LMS algorithm, the FLMS performs high convergence rate and low steady-state fluctuation error. PDP-WPT was presented to track the interference effectively, which improves the convergence rate of information identification. Simulations were conducted to evaluate the convergence rate and identification capability of the proposed algorithm.

Keywords

adaptive filters; convergence of numerical methods; interference (signal); least mean squares methods; satellite navigation; wavelet transforms; convergence rate; fuzzy step size least-mean-square adaptive filter; hostile interference; information identification algorithm; power distributing predominance wavelet packets transform; satellite navigation; steady-state fluctuation error; Convergence; Interference suppression; Least squares approximation; Satellite navigation systems; Signal to noise ratio; Wavelet packets; information identification; least mean square; satellite navigation; wavelet packets transforme;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on

Conference_Location

XianNing

Print_ISBN

978-1-61284-458-9

Type

conf

DOI

10.1109/CECNET.2011.5768299

Filename

5768299