General analytical models characterizing multipath running average error for C/A-GPS and BOC (n,n) Galileo signals

Titouni, Salem; Rouabah, Khaled; Flissi, Mustapha; Atia, Salim; Feneniche, Wafa; Chikouche, Djamel

doi:10.1109/setit.2016.7939925

Cited by 6 publications

(4 citation statements)

References 10 publications

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“…The results are represented as running average errors that consist of calculating the absolute envelopes values and their cumulative sums. The criterion used in this simulation is the same as that used in [41, 42]. The results of running average errors comparison, for BOC s / c (4, 1) and BOC s / c (15, 10) modulated signals, are shown separately in the tops and bottoms of Figs.…”

Section: Simulation Resultsmentioning

confidence: 99%

Efficient technique for DLL S ‐curve side zero‐crossings cancellation in global positioning system/Galileo receiver

Rouabah

Atia

Flissi

et al. 2019

IET signal process.

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In this study, the authors propose a new method that eliminates ambiguity in global navigation satellite system (GNSS) code acquisition and tracking significantly. It is based on the use of a specified locally generated (SLG) pseudo‐random noise code that can be correlated with any received binary offset carrier sine‐ or cosine‐modulated signal. As a result, the correlation function (CF) together with its discriminator function (DF) at the delay locked loop (DLL) output, determined within a tracking region of (−1, 1) chips, are unambiguous and narrow, providing thus better positioning accuracy. On the other hand, the SLG‐based methods CF and DF are such as those of high‐resolution correlator and Strobe correlator, initially proposed for multipath mitigation in classical binary phase shift keying‐modulated code. In addition, their proposed SLG‐based scheme is valid for any value of the early–late chip spacing in the DLL‐DF. The computer simulation results show that the proposed scheme is unambiguous for DLL code‐tracking operation and has superior performance in the estimation of the delay of line of sight signal in GNSS applications.

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Section: Simulation Resultsmentioning

confidence: 99%

Efficient technique for DLL S ‐curve side zero‐crossings cancellation in global positioning system/Galileo receiver

Rouabah

Atia

Flissi

et al. 2019

IET signal process.

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“…The ACF of the BOC modulated signal can be obtained by Equation (6), and the shape vectors

and

are identical. In [ 23 ], the ACF is given by:

where

with

denoting the smallest integer so that

.…”

Section: Binary Offset Carrier (Boc) Modulated Signalsmentioning

confidence: 99%

“…Figure 17 a shows the code tracking error standard deviation [ 23 ] simulated by several tracking methods to track the BOC(1,1) signal under different carrier-to-noise ratio (CNR). Among them, the code tracking error of BPSK-like and SCPC was relatively large.…”

Section: Performance Analysismentioning

confidence: 99%

An Unambiguous Synchronization Scheme for GNSS BOC Signals Based on Reconstructed Correlation Function

Sun

Song

et al. 2021

Sensors

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Binary offset carrier (BOC) modulation is a new modulation method that has been gradually applied to the Global Satellite Navigation System (GNSS) in recent years. However, due to the multi-peaks in its auto-correlation function (ACF), it will incur a false lock and generate synchronization ambiguous potentially. In this paper, an unambiguous synchronization method based on a reconstructed correlation function is proposed to solve the ambiguity problem. First, through the shape code vector constructed in this paper, the general cross-correlation function (CCF) expression of the BOC modulated signal will be obtained. Based on the features of the signal correlation function, it is decomposed into a matrix form of trigonometric functions. Then, it generates two local signal waves using a specific method, then the proposed method is implemented to obtain a no-side-peak correlation function by reconstructing the cross-correlation between the received signal and the two local signals. Simulations showed that it fully eliminates the side-peak threat and significantly removes the ambiguity during the synchronization of the BOC signals. This paper also gives the improved structure of acquisition and tracking. The detailed theoretical deduction of detection probability and code tracking error is demonstrated, and the corresponding phase discrimination function is given. In terms of de-blurring ability and detection probability performance, the proposed method outperformed other conventional approaches. The tracking performance was superior to the comparison methods and the phase discrimination curve only had a zero-crossing, which successfully removed the false lock points. In addition, in multipath mitigation, it outperformed the ACF of the BOC signal, and performs as well as the autocorrelation side-peak cancellation technique (ASPeCT) for BOC(kn,n) signals.

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“…The main factor that has leaded the designers of the circuits to introduce these new acquisition strategies is the use of Binary Offset Carrier (BOC) modulation [5]. This recent new functionality was added to guarantee interworking between the new Galileo system and the modernized GPS by ensuring also a better performance in positioning the receiver [6]. In spite of all these advantages, this new type of modulation is not completely sheltered from the principal sources of the traditional problems confronted by old generation GPS [7], in particular MP and additive noise [8].…”

Section: Introductionmentioning

confidence: 99%

GNSS Multipath Reduction Using GPS and DGPS in the Real Case

Titouni¹,

Rouabah²,

Atia³

et al. 2017

POS

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In Global Navigation Satellite System (GNSS) like Global Positioning System (GPS) and future Galileo, space signal reception in urban environment seems to be one of most significant. The urban environment is characterized by the presence of an excessive number of obstacles that produce Multiple Path (MP) in positioning the receiver. Consequently, it is of primary importance to characterize and ameliorate the performances of GNSS receiver for this type of application. In this paper, a method to mitigate MP in GNSS applications was proposed. Its principle is based on the addition, to the geographic map of a city or a neighborhood, of a supplementary information that consists of the correction of error caused by the MPs. The latter one was carried out by the comparison of the measurements, realized by Differential GPS (DGPS) and GPS, between two different sites with the same form. The first one was characterized by the presence of the MPs and the second one was completely clear of any type of obstacle. As a consequence, the measurements comparison has allowed us to deduce the GNSS MPs errors. This information can subsequently be used to make the corrections of the errors caused by MPs and it can be generalized by a measurement company to any entire city in order to identify errors in any neighborhood.

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General analytical models characterizing multipath running average error for C/A-GPS and BOC (n,n) Galileo signals

Cited by 6 publications

References 10 publications

Efficient technique for DLL S ‐curve side zero‐crossings cancellation in global positioning system/Galileo receiver

Efficient technique for DLL S ‐curve side zero‐crossings cancellation in global positioning system/Galileo receiver

An Unambiguous Synchronization Scheme for GNSS BOC Signals Based on Reconstructed Correlation Function

GNSS Multipath Reduction Using GPS and DGPS in the Real Case

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