Paper Title:
An Array Nonlinear Kalman Tracker for Indoor GPS Signal
  Abstract

To implement indoor GPS signal tracking in standalone mode when the tracking loop is unlocked and data bit edge is unknown, the paper develops a modified Viterbi Algorithm (MVA) based on dynamic programming, and it was applied for GPS bit synchronization. Besides, two combination carrier tracking schemes based on Central Difference Kalman Filter (CDKF) and MVA module were designed for indoor GPS signal. The testing results indicate that the methods can successful detect bit edge position with high detection probability whether or not the tracking loop is locked. The co-operational tracking scheme is still able to perform when the signal quality deteriorate.

  Info
Periodical
Edited by
Ran Chen
Pages
3864-3868
DOI
10.4028/www.scientific.net/AMM.44-47.3864
Citation
J. C. Ding, L. Zhao, J. Liu, S. H. Gao, "An Array Nonlinear Kalman Tracker for Indoor GPS Signal", Applied Mechanics and Materials, Vols. 44-47, pp. 3864-3868, 2011
Online since
December 2010
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