The accuracy and noise immunity of GNSS receivers are largely determined by the performance of their tracking modules. To optimize performance, designers should take into account several key issues: the choice of integration intervals, the time delay (spacing) between the early and late correlator channels, and the parameters of tracking loop filters. This article presents the results of an analysis of these important practical aspects. The obtained results display some ways of improv-ing the parameters of transient processes, which occur in tracking modules. The study was conducted on an experimental navigation receiver, processing GPS L1 signals. Experimental data were obtained using the simulation software package, developed by the authors, Xilinx environment Vivado, as well as the processing of recordings of real navigation signals obtained in full-scale tests.
Using the phase of a signal as an informative parameter usually allows for the
highest efficiency of signal isolation from interference and the accuracy of estimating its parameters.
However, in some cases, in particular in conditions of intense interference and fluctuations in signal
parameters caused by the movement of a moving object, a decrease in the information content of the
phase caused by its "jumps" into neighboring phase cycles may cause a deterioration in the quality
of functioning of the equipment of radio engineering systems, which makes it advisable to exclude
the phase from the vector of measured parameters.
The study of this issue was carried out in the work by comparing the characteristics of
synchronization systems for communication and navigation equipment with phase and frequency
auto-tuning of the frequency of the reference oscillator. At the same time, it was assumed that the
equipment was located on a mobile object and operated in conditions of intense interference.
A. Nemykin, L. N. Isaeva· Legal and Applied Metrology· 0 citations
Relevance
is driven by the necessity to develop software-defined receivers capable of dynamically adapting to changes in navigation systems without hardware modifications, as traditional hardware-defined receivers based on fixed signal processing algorithms possess limited adaptability to evolving signal structures and new services.
The research aim
is to develop an algorithm for the joint processing of navigation signals with frequency and code division multiple access, ensuring the universality of a software receiver under diverse Global Navigation Satellite System signal conditions.
The scientific objective
is the experimental verification of digital signal processing algorithms that facilitate unified processing of multiple navigation signal types within a single software environment.
Methods
employed in the study include algorithmic modeling, correlation processing based on the Fast Fourier Transform, and experimental validation using a software receiver prototype.
Results
are as follows: possible approaches for joint processing of complex signals with frequency and code division in a GLONASS software receiver are presented; a concept for the development of user navigation equipment technology is outlined; experimental results for the reception and processing algorithm of code-division signals are provided; an algorithm for joint processing of frequency-division and code-division signals in a unified software receiver is proposed.
The scientific novelty
lies in the substantiation and experimental confirmation of the feasibility of unifying reception algorithms for signals with frequency and code division multiple access within a unified computational core.
Theoretical significance
lies in obtaining new knowledge about the principles of constructing universal processing algorithms for navigation signals.
The practical significance
is that the proposed algorithm enables the development of universal navigation receivers with software-defined adaptability to Global Navigation Satellite Systems updates, significantly reducing hardware
modernization costs. Its implementation on high-performance processors will provide real-time processing capabilities in prospective receiver designs.
A. V. Kozlov, A. M. Petushkov, E. A. Sakovsky et al.· Proceedings of Telecommunica...· 0 citations
Abstract. This work addresses the challenge of multipath interference in Global Navigation Satellite System (GNSS) positioning. An approach is proposed to improve accuracy through adaptive weighting strategies and multipath isolation techniques. Weighting methods based on elevation and carrier-to-noise ratio (C/N0) are employed, and this strategy is combined with a multipath detection technique using the Code-minus-carrier (CMC) rate of change. The method is tested using a Piksi Multi GNSS Module, with data processed using Standard Point Positioning (SPP) techniques. An 8-state filter based on a Position-Velocity (PV) model is implemented for dynamic state estimation. Experiments in static and dynamic scenarios demonstrate significant improvements in positioning accuracy.
S. Chiodini· Materials Research Proceedin...· 0 citations
Digital television signals received from a geostationary satellite can be used as signals of opportunity to calculate and predict the satellite orbit. This is an inexpensive and practical way to evaluate satellite collision risks, a key aspect of space surveillance and space safety. The technique is based on measuring the Time Difference of Arrival (TDoA) between pairs of tracking stations located across the satellite footprint, using a high-gain parabolic antenna and a signal digitiser. To calculate the TDoA accurately, the stations must timestamp the measurements according to a common time reference, which is achieved by using a GNSS receiver. Since the GNSS equipment setup can be different at each station (e.g., different cable lengths), it is necessary to calibrate the total GNSS chain delay and compensate for it. Also, the signal from the geostationary satellite itself undergoes a time delay as it travels across the tracking station hardware, which should also be accounted for. This paper describes GMV's Focusear passive tracking system, with an emphasis on signal delay calibration aspects.
R. Piriz, Francesc Vilardell Sallés, A. A. Maté· IEEE International Workshop...· 0 citations
Simultaneous use of pseudorange, phase and Doppler data from multiple GNSSs for Position, Velocity and Timing (PVT) requires the alignment of the time and frequency scales of the used GNSSs, and additional calibrations, some of them related to the different signal offsets. The accuracy of the PVT solution is also dependent on the GNSS constellation. However, a comparative analysis seems to be lacking, particularly for the joint use of global and regional constellations. The aim of this work is to study the interoperability of GNSSs and their performances (in particular for Galileo), concerning position, velocity and time. To do this, pseudorange and Doppler data from GPS, GLONASS, Galileo, BeiDou, QZSS, NAVIC and GAGAN recorded of a three-month period (July to September 2025) by ten permanent stations at different geographical locations are processed. We first investigate the alignment of the GNSSs time scales relative to GPS and show that the time scales have different relative offsets of up to several tens of nanoseconds, depending on the GNSS and on the receiver type. Then, the alignment in velocity and frequency is evaluated using Doppler data, and it is found out it is within fractions of cm/sec.
M. Pertile, Anna Fantoni, Joaquin Zurutuza et al.· IEEE International Workshop...· 0 citations
Global Positioning System (GPS) signals in the L1 band are inherently vulnerable to both intentional and unintentional jamming because of their low received power levels. In this study, the performance of three different adaptive filtering algorithms is investigated against five representative jammer types in a GPS L1 receiver employing a single-element patch antenna. The considered jammer types include continuous-wave, swept, pulsed, wideband, and Binary Phase Shift Keying (BPSK)-modulated interference. The evaluated algorithms comprise the Least Mean Squares (LMS), Recursive Least Squares (RLS), and Adaptive Notch Filter-based approaches. Simulation-based assessments are carried out in terms of signal-to-noise-and-interference ratio improvement, bit error rate, convergence speed, and computational complexity. The results indicate that each algorithm offers distinct performance advantages depending on the characteristics of the interfering signal.
Akın Can Özbaş, Yılmazcan Bekleviş, Mesut Erol et al.· Signal Processing and Commun...· 0 citations
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