2020 European Navigation Conference (ENC) 2020
DOI: 10.23919/enc48637.2020.9317389
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Ziv-Zakai Bound and Multicorrelator Compression for a Galileo E1 Meta-Signal

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Cited by 7 publications
(8 citation statements)
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“…is the square of the so-called Gabor bandwidth (GB). In the equation, the dependency on the signal-to-noise ratio (SNR) η = C N0 T is highlighted [38], [44] where T is the observation time and C N0 is the carrier-to-noise-density ratio (C/N 0 ). The GB in (2) depends on the spectrum X(f ), which is the Fourier transform of the baseband noiseless observed signal x(t) [43], [44].…”
Section: A Meta-signal Rationalementioning
confidence: 99%
See 1 more Smart Citation
“…is the square of the so-called Gabor bandwidth (GB). In the equation, the dependency on the signal-to-noise ratio (SNR) η = C N0 T is highlighted [38], [44] where T is the observation time and C N0 is the carrier-to-noise-density ratio (C/N 0 ). The GB in (2) depends on the spectrum X(f ), which is the Fourier transform of the baseband noiseless observed signal x(t) [43], [44].…”
Section: A Meta-signal Rationalementioning
confidence: 99%
“…Meta-signals however, as well as split-spectrum modulations, are generally characterized by a multi-peaked autocorrelation function (ACF) [38]. A characteristic that might lead to false locking and biased measurements, especially when multipath is present.…”
Section: Introductionmentioning
confidence: 99%
“…While the potential of meta-signal processing has been demonstrated, for example, through the analysis of the Cramer-Rao lower bound (CRLB; Das et al, 2020;Ortega et al, 2020), meta-signals have a multi-peaked correlation function and a tracking loop can lock on a secondary peak, leading to biased measurements (Nardin et al, 2020;Schwalm et al, 2020). The number of secondary correlation peaks increases with the frequency separation of the sideband components and false locks can significantly degrade meta-signal processing performance (Schwalm et al, 2020). Moreover, filtering and other non-idealities can worsen the ambiguity problem that should be addressed with dedicated algorithms (Nardin et al, 2020).…”
Section: Introductionmentioning
confidence: 99%
“…While, in principle, a large frequency separation leads to a large Gabor bandwidth, the same frequency separation is the cause of multi-peaked correlation functions, which, in turn, can lead to ambiguous meta-signal pseudorange measurements. This is one of the main limitations of GNSS meta-signals [ 7 , 8 , 9 ]. The occurrence of a multi-peak correlation function and ambiguous measurements is directly linked to the fact that meta-signal pseudoranges are mixed code and carrier observations [ 10 , 11 ].…”
Section: Introductionmentioning
confidence: 99%
“…This also implies a reduction of the computational load for the processing of a full meta-signal. All these methods alleviate the ambiguity problem, which can still occur for excessively large frequency separations and in the presence of biases and non-idealities [ 7 , 8 , 9 ]. For this reason, it is important to investigate the limitations occurring when considering specific side-band combinations.…”
Section: Introductionmentioning
confidence: 99%