The increasing vulnerability of Global Navigation Satellite Systems has motivated renewed interest in Doppler-based navigation using low Earth orbit satellites, which can determine position, velocity, clock bias, and clock drift from carrier Doppler measurements. However, the geometric dilution of precision (GDOP) in this eight-state problem behaves fundamentally differently from the GDOP in pseudorange-based navigation. In particular, volume-based satellite selection, effective for pseudorange-based GDOP minimization, has been empirically found to perform poorly for Doppler GDOP. This paper establishes a geometric foundation for Doppler GDOP characterization. A closed-form geometric parameterization of the Doppler measurement Jacobian in terms of elevation, azimuth, inclination, and altitude ratio is derived. It is shown that the clock bias sensitivity depends on elevation, altitude, and the angle between the satellite velocity vector and the line of sight. This sensitivity produces a correlation with the clock drift that no geometric arrangement can remove. A Schur complement decomposition of the eight-state information matrix is performed, yielding an exact GDOP inflation formula, governed by a collinearity coefficient that measures the alignment between the clock bias column and a seven-state subspace. It is proven that the geometric coupling that renders clock bias observable is the same coupling that inflates estimation covariance, and that satellite altitude diversity reduces the collinearity by separating satellites at equal elevation onto distinct sensitivity bands. An example employing a two-shell satellite configuration illustrates the analysis.
The use of signals from Earth-orbiting Global Navigation Satellite System (GNSS) constellations for positioning, navigation, and timing on the lunar surface was recently demonstrated by the Lunar GNSS Receiver Experiment (LuGRE) aboard Blue Ghost Mission 1. For receiver clock synchronization using GNSS, Kalman filter p...
Min-Ju Han, Seunghyeon Park, Joon Hyo Rhee· 0 citations
The rapid deployment of low earth orbit (LEO) mega-constellations is driving the convergence of communication and navigation in future wireless networks. To effectively use these satellites for positioning, the selection of an appropriate measurement method is a key design challenge governed by the achievable positioni...
Precise orbit information is generally unavailable to users of noncooperative low Earth orbit (LEO) communication satellites such as Iridium NEXT, making publicly available two-line element (TLE) data the primary source of orbital states. However, TLE-derived orbital-state errors degrade Doppler positioning performance...
Ming Lei, Yue Liu, Zhi-Hao Yang et al.· Italian National Conference...· 0 citations
Low Earth orbit (LEO) satellite links are sensitive to ephemeris errors because fast geometry changes directly affect propagation delay and Doppler frequency. This paper proposes an orbit prediction-assisted precompensation scheme based on adaptive strong tracking Kalman filtering with a Keplerian constraint (ASTKF-K)....
Jia-Bao Zhou, Zu-Zhi Shang· Journal of Physics, Conferen...· 0 citations
Recent advances in optical clock technology offer the possibility of directly sensing differences in the Earth’s gravitational potential through frequency comparisons between satellites. This study investigates the performance of different satellite formation-flying architectures for recovering the time-variable gravit...
Mattia C. Imperato, K. Ghobadi-Far, R. Nerem· GRACE/GRACE-FO Science Team...· 0 citations
Satellite-based Interferometric Synthetic Aperture Radar (InSAR) is widely used to monitor ground deformation over large areas. However, each InSAR observation measures only the scalar projection of the three-dimensional displacement vector onto the satellite line of sight. Consequently, two independent ascending and d...