Improving the performance of the carrier tracking loop for GPS receivers in presence of transient errors due to PVT variations - Archive ouverte HAL
Conference Papers Year : 2016

Improving the performance of the carrier tracking loop for GPS receivers in presence of transient errors due to PVT variations

Mohamed Mourad Hafidhi
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  • PersonId : 992401
Emmanuel Boutillon

Abstract

—The increase in integration density and the requirement of low power supplies to reduce energy consumption can make circuits more and more sensitive to upsets errors. The loss of robustness increases with process/voltage and temperature (PVT) variations. This paper 1 shows that the impact of errors that appear when computing the estimation of the Doppler offsets in a GPS application can be greatly reduced by tuning appropriately the carrier filter bandwidth. The effectiveness of the proposed was proven by comparing the performance a faulty GPS receiver to a non-faulty (noisy-free) GPS receiver at two levels: the standard deviation of the tracking error variance (by theory and by simulation) as well as the standard deviation between positions given by the faulty (noisy) and non-faulty (the noiseless) GPS receivers. Modifying properly the optimal filter bandwidth values gives astonishing results in terms of robustness against errors. The modification of the bandwidth filter values introduces almost no position degradation in a noise-free GPS receiver (only 11 cm in average). With 40 % of error, the standard deviation of the error in the position does not exceed 2 m by increasing the PLL bandwidth while the tracking loop does not support more than 6% of errors.

Domains

Electronics
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Dates and versions

hal-01391201 , version 1 (03-11-2016)

Identifiers

  • HAL Id : hal-01391201 , version 1

Cite

Mohamed Mourad Hafidhi, Emmanuel Boutillon. Improving the performance of the carrier tracking loop for GPS receivers in presence of transient errors due to PVT variations. IEEE International Workshop on Signal Processing Systems (SIPS'2016), Oct 2016, Dallas, United States. ⟨hal-01391201⟩
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