Special Issue "Signal Processing for Satellite Positioning Systems"

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".

Deadline for manuscript submissions: closed (31 December 2018)

Special Issue Editors

Guest Editor
Dr. Fabio Dovis

Department of Electronics and Telecommunications, Politecnico di Torino, Italy
Website | E-Mail
Interests: GNSS receivers; advanced signal processing for GNSS; detection and mitigation of GNSS interference
Guest Editor
Dr. Nicola Linty

Department of Electronics and Telecommunications, Politecnico di Torino, Italy
E-Mail
Interests: GNSS-based atmospheric monitoring; scintilaltion detection and mitigation; GNSS software receivers

Special Issue Information

Dear Colleagues,

The recent development of new Global Navigation Satellite Navigation Systems, such as the European Galileo and the modernization of Global positioning system, GLONASS, is boosting new applications that range from classical navigation services, to a plethora of new fields that are using GNSS signals for purposes other than positioning. New applications to timing services, as well as the use of GNSS signals for scientific applications, such as ionospheric tomography, are becoming popular and new services are being deployed in these new application fields.

Nevertheless, all these new applications share classical positioning techniques and advanced signal processing algorithms, starting from weak received signals, through tailored receivers and processors, that are able to denoise, extract features, mitigate disturbances and interference, and retrieve timing information.

This Special Issue aims at collecting relevant papers describing advanced signal processing algorithms that are being developed to process the GNSS signals, not only for the classical positioning applications, but also for other fields such as timing and remote sensing.

Original processing architecture, low complexity implementation strategies, feature extraction algorithms, and machine learning approaches fall within the field of interest of this Special Issue. Digital signal processing algorithms acting along the processing chain will be considered, as they can address raw signal samples, processed signals, post-correlation values, raw and corrected pseudoranges, and positioning solutions.

Prof. Fabio Dovis
Dr. Nicola Linty
Guest Editors

Manuscript Submission Information

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Keywords

  • Global Navigation Satellite Systems
  • Positioning
  • Interference Detection
  • Interference Mitigation
  • Remote Sensing
  • Ionosphere

Published Papers (4 papers)

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Open AccessArticle A Joint Dual-Frequency GNSS/SINS Deep-Coupled Navigation System for Polar Navigation
Appl. Sci. 2018, 8(11), 2322; https://doi.org/10.3390/app8112322
Received: 31 October 2018 / Revised: 16 November 2018 / Accepted: 17 November 2018 / Published: 21 November 2018
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Abstract
The strategic position of the polar area and its rich natural resources are becoming increasingly important, while the northeast and northwest passages through the Arctic are receiving much attention as glaciers continue to melt. The global navigation satellite system (GNSS) can provide real-time [...] Read more.
The strategic position of the polar area and its rich natural resources are becoming increasingly important, while the northeast and northwest passages through the Arctic are receiving much attention as glaciers continue to melt. The global navigation satellite system (GNSS) can provide real-time observation data for the polar areas, but may suffer low elevation problems of satellites, signals with poor carrier-power-to-noise-density ratio (C/N0), ionospheric scintillations, and dynamic requirements. In order to improve the navigation performance in polar areas, a deep-coupled navigation system with dual-frequency GNSS and a grid strapdown inertial navigation system (SINS) is proposed in the paper. The coverage and visibility of the GNSS constellation in polar areas are briefly reviewed firstly. Then, the joint dual-frequency vector tracking architecture of GNSS is designed with the aid of grid SINS information, which can optimize the tracking band, sharing tracking information to aid weak signal channels with strong signal channels and meet the dynamic requirement to improve the accuracy and robustness of the system. Besides this, the ionosphere-free combination of global positioning system (GPS) L1 C/A and L2 signals is used in the proposed system to further reduce ionospheric influence. Finally, the performance of the system is tested using a hardware simulator and semiphysical experiments. Experimental results indicate that the proposed system can obtain a better navigation accuracy and robust performance in polar areas. Full article
(This article belongs to the Special Issue Signal Processing for Satellite Positioning Systems)
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Open AccessArticle Effect of Surface Mass Loading on Geodetic GPS Observations
Appl. Sci. 2018, 8(10), 1851; https://doi.org/10.3390/app8101851
Received: 28 August 2018 / Revised: 24 September 2018 / Accepted: 3 October 2018 / Published: 9 October 2018
Cited by 2 | PDF Full-text (2555 KB) | HTML Full-text | XML Full-text
Abstract
We investigated the effect of mass loading (atmospheric, oceanic and hydrological loading (AOH)) on Global Positioning System (GPS) height time series from 30 GPS stations in the Eurasian plate. Wavelet coherence (WTC) was employed to inspect the correlation and the time-variable relative phase [...] Read more.
We investigated the effect of mass loading (atmospheric, oceanic and hydrological loading (AOH)) on Global Positioning System (GPS) height time series from 30 GPS stations in the Eurasian plate. Wavelet coherence (WTC) was employed to inspect the correlation and the time-variable relative phase between the two signals in the time–frequency domain. The results of the WTC-based semblance analysis indicated that the annual fluctuations in the two signals for most sites are physically related. The phase asynchrony at the annual time scale between GPS heights and AOH displacements indicated that the annual oscillation in GPS heights is due to a combination of mass loading signals and systematic errors (AOH modelling errors, geophysical effects and/or GPS system errors). Moreover, we discuss the impacts of AOH corrections on GPS noise estimation. The results showed that not all sites have an improved velocity uncertainty due to the increased amplitude of noise and/or the decreased spectral index after AOH corrections. Therefore, the posterior mass loading model correction is potentially feasible but not sufficient. Full article
(This article belongs to the Special Issue Signal Processing for Satellite Positioning Systems)
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Open AccessArticle Data Fusion Based on Adaptive Interacting Multiple Model for GPS/INS Integrated Navigation System
Appl. Sci. 2018, 8(9), 1682; https://doi.org/10.3390/app8091682
Received: 11 August 2018 / Revised: 5 September 2018 / Accepted: 12 September 2018 / Published: 17 September 2018
Cited by 1 | PDF Full-text (4024 KB) | HTML Full-text | XML Full-text
Abstract
The extended Kalman filter (EKF) as a primary integration scheme has been applied in the Global Positioning System (GPS) and inertial navigation system (INS) integrated system. Nevertheless, the inherent drawbacks of EKF contain not only instability caused by linearization, but also massive calculation [...] Read more.
The extended Kalman filter (EKF) as a primary integration scheme has been applied in the Global Positioning System (GPS) and inertial navigation system (INS) integrated system. Nevertheless, the inherent drawbacks of EKF contain not only instability caused by linearization, but also massive calculation of Jacobian matrix. To cope with this problem, the adaptive interacting multiple model (AIMM) filter method is proposed to enhance navigation performance. The soft-switching characteristic, which is provided by interacting multiple model algorithm, permits process noise to be converted between upper and lower limits, and the measurement covariance is regulated by Sage adaptive filtering on-line Moreover, since the pseudo-range and Doppler observations need to be updated, an updating policy for classified measurement is considered. Finally, the performance of the GPS/INS integration method on the basis of AIMM is evaluated by a real ship, and comparison results demonstrate that AIMM could achieve a more position accuracy. Full article
(This article belongs to the Special Issue Signal Processing for Satellite Positioning Systems)
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Open AccessLetter Band-Pass Sampling in High-Order BOC Signal Acquisition
Appl. Sci. 2018, 8(11), 2226; https://doi.org/10.3390/app8112226
Received: 26 September 2018 / Revised: 2 November 2018 / Accepted: 5 November 2018 / Published: 12 November 2018
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Abstract
The binary offset carrier (BOC) modulation, which has been adopted in modern global navigation satellite systems (GNSS), provides a higher spectral compatibility with BPSK signals, and better tracking performance. However, the autocorrelation function (ACF) of BOC signals has multiple peaks. This feature complicates [...] Read more.
The binary offset carrier (BOC) modulation, which has been adopted in modern global navigation satellite systems (GNSS), provides a higher spectral compatibility with BPSK signals, and better tracking performance. However, the autocorrelation function (ACF) of BOC signals has multiple peaks. This feature complicates the acquisition process, since a smaller time searching step is required, which results in longer searching time or greater amounts of hardware resources. Another problem is the high Nyquist frequency, which leads to high computational complexity and power consumption. In this paper, to overcome these drawbacks, the band-pass sampling technique for multiple signals is introduced to BOC signals. The sampling frequency can be reduced significantly. Furthermore, the ACF of the sampled signal has only two secondary peaks, so that the code phase can be searched with a larger searching step. An acquisition structure base on dual-loop is proposed, to completely eliminate the ambiguity and compensate the subcarrier Doppler. The acquisition performance and the computational complexity are also analysed. Full article
(This article belongs to the Special Issue Signal Processing for Satellite Positioning Systems)
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