Global Navigation Satellite Systems: Signal, Theory and Applications 2012
DOI: 10.5772/29453
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High Sensitivity Techniques for GNSS Signal Acquisition

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Cited by 11 publications
(4 citation statements)
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“…All these approaches are considered by the methods tested in this study. In order to analyze and compare the performances of different acquisition techniques, as explained in [6], we compare different metrics: the probabilities of detection/false alarm, the peak-to-noise floor ratios for the acquired signals, and the execution time of the signal acquisition. Preliminary results on the acquisition in case of strong scintillations were presented in a recent paper [7].…”
Section: Introductionmentioning
confidence: 99%
“…All these approaches are considered by the methods tested in this study. In order to analyze and compare the performances of different acquisition techniques, as explained in [6], we compare different metrics: the probabilities of detection/false alarm, the peak-to-noise floor ratios for the acquired signals, and the execution time of the signal acquisition. Preliminary results on the acquisition in case of strong scintillations were presented in a recent paper [7].…”
Section: Introductionmentioning
confidence: 99%
“…Coherent combining across signal components and coherent integration over time are techniques of high-sensitivity GNSS receivers (Dovis & Ta, 2012;Kong, 2017;Seco-Granados et al, 2012) used to achieve better signal detection, tracking, and measurement. Coherent combining of multiple signals may involve the upper and lower sidebands of a BOC signal (Yang et al, 2020a) and signals on different bands (Deambrogio et al, 2013;Yang & Soloviev, 2016).…”
mentioning
confidence: 99%
“…Non-coherent integration including the semi, differential, and generalized coherent variants (Dovis & Ta, 2012;Esteves et al, 2016;Gómez-Casco et al, 2020;Kong, 2017) applies a nonlinear operation (delay-conjugate-multiply) so as to remove data bits and residual Doppler shift. As such, it suffers from an instantaneous signal-to-noise ratio (SNR) degradation due to the squaring loss (Lowe, 1999;Strassle et al, 2007) as the price paid for the benefit of subsequent longer power accumulation.…”
mentioning
confidence: 99%
“…PDI techniques overcome the limitations of the coherent integration time duration by using a non-linear function. Although these techniques are less effective in accumulating signal energy than the coherent integration, they can use a longer integration time allowing the receiver to acquire satellites with lower carrier-to-noise ratio [2], [3].…”
mentioning
confidence: 99%