Skip to main content
QUICK REVIEW

[Paper Review] Performance Bounds for Cooperative Localisation in the Starlink Network

Calum Spring-Turner, Raj Thilak Rajan|arXiv (Cornell University)|Jul 11, 2022
Space Satellite Systems and Control4 citations
TL;DR

This paper evaluates cooperative localisation performance in the Starlink mega-constellation using the Cramér-Rao Bound (CRB) to establish theoretical limits on position estimation accuracy. It analyzes two scenarios—using both inter-satellite optical links and ground station measurements, and using only inter-satellite measurements—finding average RMSEs of 10.15 m and 10.68 m, respectively, over most of a satellite's orbit.

ABSTRACT

Mega-constellations in Low Earth Orbit have the potential to revolutionise worldwide internet access. The concomitant potential of these mega-constellations to impact space sustainability, however, has prompted concern from space actors as well as provoking concern in the ground-based astronomy community. Increasing the knowledge of the orbital state of satellites in mega-constellations improves space situations awareness, reducing the need for collision avoidance manoeuvres and allowing astronomers to prepare better observational mitigation strategies. In this paper, we create a model of Phase 1 of Starlink, one of the more well-studied megaconstellations, and investigate the potential of cooperative localisation using time-ofarrival measurements from the optical inter-satellite links in the constellation. To this end, we study the performance of any unbiased estimator for localisation, by calculating the instantaneous Cram$\acute{ ext{e}}$r-Rao bound for two situations; one in which inter-satellite measurements and measurements from ground stations were considered, and one in which only relative navigation from inter-satellite measurements were considered. Our results show that localisation determined from a combination of inter-satellite measurements and ground stations can have at best an an average RMSE of approximately 10.15 metres over the majority of a satellite's orbit. Relative localisation using only inter-satellite measurements has a slightly poorer performance with an average RMSE of 10.68 metres. The results show that both anchored and anchorless inter-satellite cooperative localisation are dependent on the constellation's geometry and the characteristics of the inter-satellite links, both of which could inform the use of relative navigation in large satellite constellations in future.

Motivation & Objective

  • To assess the theoretical performance limits of cooperative localisation in the Starlink mega-constellation using unbiased estimators.
  • To investigate how inter-satellite optical links and ground station measurements jointly improve orbital state estimation accuracy.
  • To quantify the impact of constellation geometry and inter-satellite link characteristics on localisation performance.
  • To compare anchored (ground station-augmented) and anchorless (purely relative) navigation scenarios in terms of position estimation accuracy.
  • To provide a benchmark for future development of autonomous navigation systems in large LEO constellations.

Proposed method

  • Developed a spatial model of Phase-1 Starlink, including satellite orbital elements, orbital planes, and ground station locations.
  • Modeled the inter-satellite network topology based on line-of-sight visibility and optical inter-satellite link (ISL) range constraints.
  • Applied the instantaneous Cramé;r-Rao Bound (CRB) to derive the theoretical lower bound on position estimation error for both anchored and anchorless navigation.
  • Calculated the Relative Cramé;r-Rao Bound (RCRB) for each satellite to quantify the minimum achievable mean squared error in position estimation.
  • Used a signal-to-noise ratio parameter $\gamma$ to model inter-satellite link performance, which directly affects the CRB.
  • Performed Monte Carlo-style analysis across multiple orbital arcs to compute average and distributional statistics of the RCRB.

Experimental results

Research questions

  • RQ1What is the theoretical lower bound on position estimation accuracy for Starlink satellites using only inter-satellite optical range measurements?
  • RQ2How does the inclusion of ground station measurements improve the achievable localisation accuracy in a cooperative navigation framework?
  • RQ3How does the time-varying geometry of the Starlink constellation affect the performance of cooperative localisation?
  • RQ4How sensitive is the localisation accuracy to the characteristics of the inter-satellite links, particularly the signal-to-noise ratio parameter $\gamma$?
  • RQ5What is the variability in localisation performance across different satellites and orbital positions within the constellation?

Key findings

  • The average RMSE for cooperative localisation using both inter-satellite measurements and ground station data is approximately 10.15 metres over the majority of a satellite's orbit.
  • For anchorless relative localisation using only inter-satellite measurements, the average RMSE is 10.68 metres, indicating only a small performance gap compared to the anchored case.
  • The RCRB exhibits significant variability, with minimum values as low as 8.87 m and maximum values reaching 36.64 m, primarily due to geometric dilution of precision at high latitudes.
  • The performance of both anchored and anchorless navigation clusters closely around 10 metres, with minimal satellite-to-satellite variation across the constellation.
  • The results demonstrate that inter-satellite cooperative localisation is highly dependent on the dynamic geometry of the constellation and the signal quality of the optical inter-satellite links.
  • The study identifies that future improvements could be achieved by incorporating orbital dynamics and time-varying estimation models such as the Extended Kalman Filter, which were not considered in this instantaneous analysis.

Better researchstarts right now

From reading papers to final review, dramatically reduce your research time.

No credit card · Free plan available

This review was created by AI and reviewed by human editors.