GPS signal fine acquisition algorithm

Dandan, Zeng; Li, Jinhai

doi:10.1109/icise.2010.5691791

Cited by 2 publications

(2 citation statements)

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“…In the serial Doppler frequency search simulations, we chose the search step size of 10 3 /64 Hz to compare with the 64 -point FFT-based technique. When the curve fitting technique (Zeng & Li 2010) is applied to the serial Doppler frequency search result obtained with search step size of 1/20 Hz, the performance is improved and shows that it has the same slope to the CRLB in the moderate and high C=N 0 region. Fig.…”

Section: Performance Analysis and Numerical Simulationsmentioning

confidence: 99%

“…To lessen the noise effect on the Doppler frequency estimation, Sagiraju et al (2006) suggest increasing T up to 5 ms, however, the scheme requires a smaller initial Doppler frequency estimation error than 50 Hz, which, in effect increases the complexity of the acquisition state. On the other hand, Zeng & Li (2010) suggest a serial Doppler frequency search using correlation in the time domain, and employ a curve fitting algorithm to find a more accurate Doppler frequency estimate. The curve fitting may be able to provide good Doppler frequency and carrier phase estimates at the cost of increased computational complexity.…”

Section: Seung-hyun Kong Kyungwoo Yoomentioning

confidence: 99%

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GPS Pull-In Search Using Reverse Directional Finite Rate of Innovation (FRI)

Kong¹,

Yoo²

2014

Journal of Positioning, Navigation, and Timing

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When an incoming Global Positioning System (GPS) signal is acquired, pull-in search performs a finer search of the Doppler frequency of the incoming signal so that phase lock loop can be quickly stabilized and the receiver can produce an accurate pseudo-range measurement. However, increasing the accuracy of the Doppler frequency estimation often involves a higher computational cost for weaker GPS signals, which delays the position fix. In this paper, we show that the Doppler frequency detectable by a long coherent auto-correlation can be accurately estimated using a complex-weighted sum of consecutive short coherent auto-correlation outputs with a different Doppler frequency hypothesis, and by exploiting this we propose a noise resistant, low-cost and highly accurate Doppler frequency and phase estimation technique based on a reverse directional application of the finite rate of innovation (FRI) technique. We provide a performance and computational complexity analysis to show the feasibility of the proposed technique and compare the performance to conventional techniques using numerous Monte Carlo simulations.

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Section: Performance Analysis and Numerical Simulationsmentioning

confidence: 99%

Section: Seung-hyun Kong Kyungwoo Yoomentioning

confidence: 99%