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Fusion Based Dynamic Platform Magnetic Compensation Beyond the Tolles Lawson Approach — arXiv:2608.26525

Source: arXiv (en)
Original: https://arxiv.org/abs/2608.26525
License (as archived): CC0-1.0
Archived: 2026-10-17T22:17:22.757Z
SHA-256 of the archived text: 039cde540dca0a0a6cae3c52d25f7b42743550f950a5731ae7f40997ae76903d
Stable URL of this page: https://metraipolis.com/documento/dc_a3b954dbdd8a

How to cite

Fusion Based Dynamic Platform Magnetic Compensation Beyond the Tolles Lawson Approach — arXiv:2608.26525 — arXiv (en), https://arxiv.org/abs/2608.26525 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_a3b954dbdd8a (Metraipolis archive dc_a3b954dbdd8a, sha256 039cde540dca0a0a6cae3c52d25f7b42743550f950a5731ae7f40997ae76903d)

BibTeX

@misc{dca3b954dbdd8a,
  title = {Fusion Based Dynamic Platform Magnetic Compensation Beyond the Tolles Lawson Approach — arXiv:2608.26525},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2608.26525},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_a3b954dbdd8a; sha256 039cde540dca0a0a6cae3c52d25f7b42743550f950a5731ae7f40997ae76903d},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2608.26525. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Aeromagnetic compensation for airborne platforms is essential for real-time tracking of the dynamic external magnetic field free from platform interference, enabling robust magnetic navigation (MagNav), magnetic anomaly detection (MAD), and other geophysics applications. While the classical Tolles-Lawson (TL) framework focuses extensively on estimating compensation model parameters, it pays less attention to the real-time estimation of the dynamic external magnetic field. To bridge this gap, this paper proposes a two-stage calibration and compensation framework. First, an augmented linearized model is developed for sensor-based calibration parameter estimation, avoiding the information loss inherent in classical band-pass filtering (BPF). Second, utilizing these pre-estimated parameters, a map-less Kalman Filter Fusion (KFF) algorithm is developed to dynamically estimate the external field and compensate the platform interference directly from multi-sensor measurements corrupted by platform interference. The second step enables real-time joint dynamic estimation and multi-sensor compensation without requiring reference position data (which runs counter to the MagNav purpose) or prior anomaly maps. Validated on the public DAF-MIT MagNav dataset, the framework overcomes the non-causal limitations of existing approaches, reducing average compensation error from 359.2~nT to 12.3~nT while maintaining exceptional robustness against heavily corrupted sensor channels.

Tema degli esploratori: calcolo e infrastrutture (retro-catalogo arXiv: annunci del 2026-08-28 in eess.SY).
Categorie arXiv: Systems and Control (eess.SY).
Pagina del lavoro: https://arxiv.org/abs/2608.26525 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-17T22:17:01.648Z dalla pagina https://arxiv.org/catchup/eess.SY/2026-08-28?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).