Tom 57 (2022): Zeszyt s1 (December 2022) Proceedings of the Second Earth Orientation Parameters Prediction Comparison Campaign (2nd EOP PCC) Workshop, online, February 15-16, 2022
Tom 56 (2021): Zeszyt 4 (December 2021)
Tom 56 (2021): Zeszyt 3 (September 2021)
Tom 56 (2021): Zeszyt 2 (June 2021)
Tom 56 (2021): Zeszyt 1 (March 2021)
Tom 55 (2020): Zeszyt 4 (December 2020)
Tom 55 (2020): Zeszyt 3 (September 2020)
Tom 55 (2020): Zeszyt 2 (June 2020)
Tom 55 (2020): Zeszyt 1 (March 2020)
Tom 54 (2019): Zeszyt 4 (December 2019)
Tom 54 (2019): Zeszyt 3 (September 2019)
Tom 54 (2019): Zeszyt 2 (June 2019)
Tom 54 (2019): Zeszyt 1 (March 2019)
Tom 53 (2018): Zeszyt 4 (December 2018)
Tom 53 (2018): Zeszyt 3 (September 2018)
Tom 53 (2018): Zeszyt 2 (June 2018)
Tom 53 (2018): Zeszyt 1 (March 2018)
Tom 52 (2017): Zeszyt 4 (December 2017)
Tom 52 (2017): Zeszyt 3 (September 2017)
Tom 52 (2017): Zeszyt 2 (June 2017)
Tom 52 (2017): Zeszyt 1 (March 2017)
Tom 51 (2016): Zeszyt 4 (December 2016)
Tom 51 (2016): Zeszyt 3 (September 2016)
Tom 51 (2016): Zeszyt 2 (June 2016)
Tom 51 (2016): Zeszyt 1 (March 2016)
Tom 50 (2015): Zeszyt 4 (December 2015)
Tom 50 (2015): Zeszyt 3 (September 2015)
Tom 50 (2015): Zeszyt 2 (June 2015)
Tom 50 (2015): Zeszyt 1 (March 2015)
Tom 49 (2014): Zeszyt 4 (December 2014)
Tom 49 (2014): Zeszyt 3 (September 2014)
Tom 49 (2014): Zeszyt 2 (June 2014)
Tom 49 (2014): Zeszyt 1 (March 2014)
Tom 48 (2013): Zeszyt 4 (December 2013)
Tom 48 (2013): Zeszyt 3 (September 2013)
Tom 48 (2013): Zeszyt 2 (June 2013)
Tom 48 (2013): Zeszyt 1 (March 2013)
Tom 47 (2012): Zeszyt 4 (December 2012)
Tom 47 (2012): Zeszyt 3 (September 2012)
Tom 47 (2012): Zeszyt 2 (June 2012)
Tom 47 (2012): Zeszyt 1 (March 2012)
Tom 46 (2011): Zeszyt 4 (December 2011) Proceedings of the Conference on "Satelitarne metody wyznaczania pozycji we wspólczesnej geodezji i nawigacji" held in Wroclaw, Poland, June 2-4, 2011 - Part II
Tom 46 (2011): Zeszyt 3 (September 2011) Proceedings of the Conference on "Satelitarne metody wyznaczania pozycji we wspólczesnej geodezji i nawigacji" held in Wroclaw, Poland, June 2-4, 2011 - Part I
Tom 46 (2011): Zeszyt 2 (June 2011)
Tom 46 (2011): Zeszyt 1 (March 2011)
Tom 45 (2010): Zeszyt 4 (December 2010)
Tom 45 (2010): Zeszyt 3 (September 2010)
Tom 45 (2010): Zeszyt 2 (June 2010) Proceedings of the IERS Workshop on EOP Combination and Prediction, Warsaw, 19-21 October 2009
Data publikacji: 21 Oct 2022 Zakres stron: 138 - 157
Abstrakt
Abstract
The demand for smartphone positioning has grown rapidly due to increased positioning accuracy applications, such as land vehicle navigation systems used for vehicle tracking, emergency assistance, and intelligent transportation systems. The integration between navigation systems is necessary to maintain a reliable solution. High-end inertial sensors are not preferred due to their high cost. Smartphone microelectromechanical systems (MEMS) are attractive due to their small size and low cost; however, they suffer from long-term drift, which highlights the need for additional aiding solutions using road network that can perform efficiently for longer periods. In this research, the performance of the Xiaomi MI 8 smartphone’s single-frequency precise point positioning was tested in kinematic mode using the between-satellite single-difference (BSSD) technique. A Kalman filter algorithm was used to integrate BSSD and inertial navigation system (INS)-based smartphone MEMS. Map matching technique was proposed to assist navigation systems in global navigation satellite system (GNSS)-denied environments, based on the integration of BSSD–INS and road network models applying hidden Marcov model and Viterbi algorithm. The results showed that BSSD–INS–map performed consistently better than BSSD solution and BSSD–INS integration, irrespective of whether simulated outages were added or not. The root mean square error (RMSE) values for 2D horizontal position accuracy when applying BSSD–INS–map integration improved by 29% and 22%, compared to BSSD and BSSD–INS navigation solutions, respectively, with no simulated outages added. The overall average improvement of proposed BSSD–INS–map integration was 91%, 96%, and 98% in 2D horizontal positioning accuracy, compared to BSSD–INS algorithm for six GNSS simulated signal outages with duration of 10, 20, and 30 s, respectively.
Data publikacji: 21 Oct 2022 Zakres stron: 158 - 184
Abstrakt
Abstract
The effect of the geodetic rotation (which includes two relativistic effects: geodetic precession and geodetic nutation) is the most significant relativistic effect in the rotation of the celestial bodies. For the first time in this research, this relativistic effect is determined in the rotation of dwarf planets (Ceres, Pluto, and Charon) and asteroids (Pallas, Vesta, Lutetia, Europa, Ida, Eros, Davida, Gaspra, Steins, and Itokawa) in the Solar System with known values of their rotation parameters. Calculations of the values of their geodetic rotation are made by a method for studying any bodies in the Solar System with a long-term ephemeris. Values of geodetic precession and geodetic nutation for all these celestial bodies were calculated in ecliptic Euler angles relative to their proper coordinate systems and in their rotational elements relative to the fixed equator of the Earth and the vernal equinox (at the epoch J2000.0). The obtained analytical values of the geodetic rotation for the celestial bodies can be used to numerically investigate their rotation in the relativistic approximation, and also used to estimate the influence of relativistic effects on the orbital–rotational dynamics for the bodies of exoplanetary systems.
Data publikacji: 21 Oct 2022 Zakres stron: 185 - 193
Abstrakt
Abstract
The dilution of precision (DOP) in satellite navigation system provides a simple characterization of the user–satellite geometry and a quantitative assessment of the positioning constellation configuration. The essential idea of physical augmentation factor of precision (PAFP) proposed in this work, is that navigation signals are transmitted at multiple frequencies from each visible satellite in the positioning constellation, while users measure the corresponding multiple pseudoranges of satellites to achieve high precision code positioning. As the multiple pseudoranges of one satellite are measured independently by the corresponding navigation signals at different frequencies, it is reasonable to treat the measurement errors due to the satellite clock and ephemeris, the atmospheric propagation as uncorrelated, random, and identically distributed. The multipath effects and receiver noise are also processed with some empirical models. By measuring user–satellite code pseudoranges at different frequencies, the PAFP offers a scheme that produces the same effect as that of the redundant-overlapping constellation, thus equivalently improving the geometric DOP. It can effectively improve code positioning precision of satellite navigation system.
The demand for smartphone positioning has grown rapidly due to increased positioning accuracy applications, such as land vehicle navigation systems used for vehicle tracking, emergency assistance, and intelligent transportation systems. The integration between navigation systems is necessary to maintain a reliable solution. High-end inertial sensors are not preferred due to their high cost. Smartphone microelectromechanical systems (MEMS) are attractive due to their small size and low cost; however, they suffer from long-term drift, which highlights the need for additional aiding solutions using road network that can perform efficiently for longer periods. In this research, the performance of the Xiaomi MI 8 smartphone’s single-frequency precise point positioning was tested in kinematic mode using the between-satellite single-difference (BSSD) technique. A Kalman filter algorithm was used to integrate BSSD and inertial navigation system (INS)-based smartphone MEMS. Map matching technique was proposed to assist navigation systems in global navigation satellite system (GNSS)-denied environments, based on the integration of BSSD–INS and road network models applying hidden Marcov model and Viterbi algorithm. The results showed that BSSD–INS–map performed consistently better than BSSD solution and BSSD–INS integration, irrespective of whether simulated outages were added or not. The root mean square error (RMSE) values for 2D horizontal position accuracy when applying BSSD–INS–map integration improved by 29% and 22%, compared to BSSD and BSSD–INS navigation solutions, respectively, with no simulated outages added. The overall average improvement of proposed BSSD–INS–map integration was 91%, 96%, and 98% in 2D horizontal positioning accuracy, compared to BSSD–INS algorithm for six GNSS simulated signal outages with duration of 10, 20, and 30 s, respectively.
The effect of the geodetic rotation (which includes two relativistic effects: geodetic precession and geodetic nutation) is the most significant relativistic effect in the rotation of the celestial bodies. For the first time in this research, this relativistic effect is determined in the rotation of dwarf planets (Ceres, Pluto, and Charon) and asteroids (Pallas, Vesta, Lutetia, Europa, Ida, Eros, Davida, Gaspra, Steins, and Itokawa) in the Solar System with known values of their rotation parameters. Calculations of the values of their geodetic rotation are made by a method for studying any bodies in the Solar System with a long-term ephemeris. Values of geodetic precession and geodetic nutation for all these celestial bodies were calculated in ecliptic Euler angles relative to their proper coordinate systems and in their rotational elements relative to the fixed equator of the Earth and the vernal equinox (at the epoch J2000.0). The obtained analytical values of the geodetic rotation for the celestial bodies can be used to numerically investigate their rotation in the relativistic approximation, and also used to estimate the influence of relativistic effects on the orbital–rotational dynamics for the bodies of exoplanetary systems.
The dilution of precision (DOP) in satellite navigation system provides a simple characterization of the user–satellite geometry and a quantitative assessment of the positioning constellation configuration. The essential idea of physical augmentation factor of precision (PAFP) proposed in this work, is that navigation signals are transmitted at multiple frequencies from each visible satellite in the positioning constellation, while users measure the corresponding multiple pseudoranges of satellites to achieve high precision code positioning. As the multiple pseudoranges of one satellite are measured independently by the corresponding navigation signals at different frequencies, it is reasonable to treat the measurement errors due to the satellite clock and ephemeris, the atmospheric propagation as uncorrelated, random, and identically distributed. The multipath effects and receiver noise are also processed with some empirical models. By measuring user–satellite code pseudoranges at different frequencies, the PAFP offers a scheme that produces the same effect as that of the redundant-overlapping constellation, thus equivalently improving the geometric DOP. It can effectively improve code positioning precision of satellite navigation system.