Kalman equalizer performance in GPS System

F. Agus Priambodo


Today, many GPS systems operate in distorted areas, so the need for an equalizer is absolute. The Zero Forcing Equalizer type which is controlled by a data-based channel estimator is the most widely used type of equalizer. The Kalman equalizer was tried to improve the performance of the Zero Forcing equalizer, in terms of Mean Squared Error (MSE). The channel is modeled as a multipath fading channel according to the Jake channel, arranged in the form of a tapped delay line based on the measured power delay profile. The data-based channel estimator model uses a training sequence that is sent to each frame, with a GSM frame structure. The equalizer is modeled as a zero-forcing equalizer controlled by a channel estimator and a direct form Kalman equalizer.


Equalizer, Kalman, Kanal Multipath, Fading, GPS system

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Akaiwa, Y. (1997). Introduction to digital mobile communication. Toronto: John Wiley & Sons.

Iliev, G., & Kasabov, N. (2000). Channel equalization using adaptive filtering with averaging. The University of Otago.

Jeruchim, M. C., Balaban, P., & Shanmugan, K. S. (2006). Simulation of communication systems: Modeling, methodology and techniques. Springer Science & Business Media.

John G. Proakis. (1995). Digital Communication. Third Edition. Singapore: Mc Graw Hill.

Ramasami, V. (2001). Fractionally Spaced, Kalman and Lattice Equalizers. EECS 862 Report.

Rappaport, T. S. (1996). Wireless Communications Principles & Practice. New Jersey, USA: Prentice-Hall Inc.

Safaya, R. (2000). A Multipath Channel Estimation Algorithm using Kalman Filter Department of Electrical Engineering and Computer Science, University of Kansas, USA

Shanmugan, K.S., & Breipohl, A. (1988). Random signals: Detection, estimation, and data analysis. New York: John Wiley & Sons.

Siemons, J. J. W. (2000). Measurement based indoor channel model. Unclassified Report. Koninklijke Philips Electronics N.V. Eindhoven

DOI: https://doi.org/10.26905/jp.v17i2.6981


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