Towards Hybrid Lunar PNT: Error Models, Lower Bounds and Algorithms

Accurate positioning, navigation and timing (PNT) are crucial for upcoming lunar surface missions. Lunar satellite navigation systems are being developed, but lack coverage during early deployment phases. Hybrid lunar PNT combining cooperative navigation, satellite systems, and an optional reference station offers improved accuracy and availability. This study develops realistic error models that incorporate temporal correlations often ignored in existing works. We derive a cooperative navigation error model considering fading and pseudorange bias from multipath propagation, and compare three error models for lunar satellite pseudorange and pseudorange rate signal-in-space error. These temporal error correlation models integrate easily into Kalman filters and provide realistic performance predictions essential for robust navigation engines. We perform case studies to demonstrate that hybrid navigation significantly improves accuracy, particularly with static users present. Most notably, hybrid navigation enables optimal performance when using a lunar reference station, achieving sub-meter accuracy with only two visible satellites.

Publication Details

Journal
ArXiv.org
Published
2025-08-14
Primary Topic
GNSS positioning and interference
Type
article
Field-Weighted Citation Impact
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article

Towards Hybrid Lunar PNT: Error Models, Lower Bounds and Algorithms

ArXiv.org
GNSS positioning and interference
article

Towards Hybrid Lunar PNT: Error Models, Lower Bounds and Algorithms

article en

Abstract

Accurate positioning, navigation and timing (PNT) are crucial for upcoming lunar surface missions. Lunar satellite navigation systems are being developed, but lack coverage during early deployment phases. Hybrid lunar PNT combining cooperative navigation, satellite systems, and an optional reference station offers improved accuracy and availability. This study develops realistic error models that incorporate temporal correlations often ignored in existing works. We derive a cooperative navigation error model considering fading and pseudorange bias from multipath propagation, and compare three error models for lunar satellite pseudorange and pseudorange rate signal-in-space error. These temporal error correlation models integrate easily into Kalman filters and provide realistic performance predictions essential for robust navigation engines. We perform case studies to demonstrate that hybrid navigation significantly improves accuracy, particularly with static users present. Most notably, hybrid navigation enables optimal performance when using a lunar reference station, achieving sub-meter accuracy with only two visible satellites.

ArXiv.org
Openalex Percentile: Top 37%
GNSS positioning and interference
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