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Kalman Filter Tracking of Limb Scan Signal using a Bank of Correlators

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2 Author(s)
Chiang, K.Q.Z. ; Sibley Sch. of Mech. & Aerosp. Eng., Cornell Univ., Ithaca, NY, USA ; Psiaki, M.L.

A combined phase-locked loop/delay-locked loop (PLL/DLL) algorithm is developed for tracking Global Navigation Satellite System (GNSS) carrier phase and code phase using the output from a large number of correlators. This approach has advantages for limb-scanning applications, in which useful meteorological information, available only at the initial rising time of a GPS satellite, is desired. The technique uses a bank of correlators to span wide ranges of uncertainty in code phase and carrier Doppler shift, thereby avoiding the need for a separate acquisition and the associated loss of an initial span of data. A fusion of optimal estimation methods processes the output from these correlators. A batch optimization of a signal model's fit at a point in time to many accumulations from the correlator bank provides a Kalman filter with "measurements" of the most likely signal parameters. The Kalman filter utilizes a signal dynamics model to provide estimates that drive the PLL and DLL. The effectiveness of this algorithm is demonstrated by using a truth-model simulation of a limb scan.

Published in:

Aerospace and Electronic Systems, IEEE Transactions on  (Volume:49 ,  Issue: 1 )

Date of Publication:

Jan. 2013

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