In terms of the availability and accuracy of positioning, navigation, and timing (PNT), the
traditional Global Navigation Satellite System (GNSS) algorithms and models perform well …

Swarm Intelligence (SI) has proven to be useful in solving issues that are difficult to solve
using traditional mathematical methodologies by using a collective behavior of a …

A navigation framework with carrier phase differential measurements from
megaconstellation low Earth orbit (LEO) satellite signals is developed. The measurement …

We are witnessing a space renaissance. Tens of thousands of broadband low Earth orbit
(LEO) satellites are expected to be launched by the end of this decade. These planned …

This paper shows the first results of differential Doppler positioning with unknown low Earth
orbit (LEO) Star-link satellite signals. To this end, a receiver capable of acquiring and …

A hybrid analytical-machine learning (ML) framework for improved low Earth orbit (LEO)
satellite orbit prediction is developed. The framework assumes the following three stages.(i) …

Correcting the ephemeris of a poorly known “noncooperative” low Earth orbit (LEO) satellite,
by utilizing pseudorange measurements by a ground-based receiver is considered. First, the …

A framework for refining the ephemerides of low Earth orbit (LEO) space vehicles (SVs) is
presented. This framework is based on a known receiver that tracks the LEO SVs using …

This paper demonstrates the first Doppler positioning-based results with Starlink low Earth
orbit (LEO) satellites. A cognitive opportunistic framework is used to detect Starlink's LEO …

A receiver for blind beacon estimation of low Earth orbit (LEO) satellite signals with
application to UAV navigation is presented. The receiver operates in three stages:(i) blind …