A Cascade Tracking Loop for Weak GPS Signals

Author:

Shi Ming Xing1,Tang Bi Yu1,Peng Ao1

Affiliation:

1. Xiamen University

Abstract

It’s important to get accurate carrier phase and frequency information when using a standalone GPS receiver. In weak signal applications, to keep a stable tracking is hard to achieve because measuring error will be huge when the SNR is low. Different methods are used to improve the SNR before the detector in a tracking process, such as coherence integration. And this paper keeps eyes on a different viewpoint, on how to refine estimation results. A cascade structure is introduced for weak signal tracking. This structure is divided into two levels. In the first level, raw phase estimation and accurate frequency estimation is provided to achieve stable work in low CNR environment. In the second level, the raw phase estimation is refined to achieve accurate tracking requirement. This cascade structure can also work jointly with any other SNR-improving technology to get a better performance.

Publisher

Trans Tech Publications, Ltd.

Reference5 articles.

1. Gang Xie. Principles of GPS and Receiver Design. Beijing: Publishing House of Electronics Industry, 2009: p.77.

2. Mark L. Psiaki and Hee Jung, Extended Kalman Filter Methods for Tracking Weak GPS Signals, Proc. of ION-GPS, Sept. (2002).

3. Ziedan N.I. and Garrison J.L. Bit Synchronization and Doppler Frequency Removal at Very Low Carrier to Noise Ratio Using a Combination of the Viterbi Algorithm with an Extended Kalman Filter., Proceeding of ION GPS 2003, pp.2515-2523.

4. Brown R.G. and P. Y. C. Hwang, Introduction to Random Signal and Applied Kalman Filtering. " John Wiley & Son, Inc. , Second Edition.R. Nicole, "Title of paper with only first word capitalized, J. Name Stand. Abbrev., in press.

5. Steven M. Kay. Fundamentals of Statistical Signal Processing. Beijing: Publishing House of Electronics Industry, 2006: pp.30-31.

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