NLMS adaptive filter algorithm method for GPS data prediction

Joint Authors

Abd al-Aziz, Samir Abd al-Khaliq
Yass, Muhammad A. R.
Muhammad, Huda Jasim

Source

Engineering and Technology Journal

Issue

Vol. 34, Issue 6A (30 Jun. 2016), pp.1058-1068, 11 p.

Publisher

University of Technology

Publication Date

2016-06-30

Country of Publication

Iraq

No. of Pages

11

Main Subjects

Information Technology and Computer Science

Topics

Abstract EN

This paper proposes a method for the prediction of GPS data using Normalized Least-Mean-Square Algorithm (nlms) was used as application of adaptive filter.

Four different scenarios were taken to predict the GPS data.

The first one was without blocking of data and the three others with blocking for (3, 6, and10 seconds, respectively), with implementation in MATLAB.

The prediction process of the GPS receivers is required for different reasons, such as maneuvering, founding obstacles, and also the time of booting may be too long due to the difficulty in obtaining the satellite’s position, hence in such cases one can use the GPS prediction data in order to solve these problems and reduce the booting time and avoid losing of the GPS data for any reason.

American Psychological Association (APA)

Abd al-Aziz, Samir Abd al-Khaliq& Yass, Muhammad A. R.& Muhammad, Huda Jasim. 2016. NLMS adaptive filter algorithm method for GPS data prediction. Engineering and Technology Journal،Vol. 34, no. 6A, pp.1058-1068.
https://search.emarefa.net/detail/BIM-696705

Modern Language Association (MLA)

Abd al-Aziz, Samir Abd al-Khaliq…[et al.]. NLMS adaptive filter algorithm method for GPS data prediction. Engineering and Technology Journal Vol. 34, no. 6A (2016), pp.1058-1068.
https://search.emarefa.net/detail/BIM-696705

American Medical Association (AMA)

Abd al-Aziz, Samir Abd al-Khaliq& Yass, Muhammad A. R.& Muhammad, Huda Jasim. NLMS adaptive filter algorithm method for GPS data prediction. Engineering and Technology Journal. 2016. Vol. 34, no. 6A, pp.1058-1068.
https://search.emarefa.net/detail/BIM-696705

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 1067-1068

Record ID

BIM-696705