Semantic Scholar Open Access 2023 3 sitasi

A two-state Kalman estimator for atomic gravimetry

B. Jiang

Abstrak

Abstract We present a two-state Kalman estimator of gravity acceleration and evaluate its performance by numerical simulations and post-measurement demonstration with real-world atomic gravimetry. We show that the estimator-enhanced gravimetry significantly improves upon both short-term sensitivity and long-term stability. The estimates of gravity acceleration demonstrate a $$\tau ^{1/2}$$ τ 1 / 2 feature well under white phase noise in the short term, and continue to improve as $$\tau ^{-1/2}$$ τ - 1 / 2 or improve faster as $$\tau ^{-1}$$ τ - 1 in the long term. This work validates the estimation of gravity acceleration as a key topic for future atomic gravimetry. Graphical abstract The performance of atomic gravimetry is limited by noises and other systematic or geophysical effects. By building a Kaman estimator rooted in the physics of atom interferometry, we realize significant improvements in both short-term sensitivity and long-term stability. This demonstration of estimator-enhanced gravimetry would be of great interest for static measurements of gravity, such as metrology or geophysics (Color online)

Topik & Kata Kunci

Penulis (1)

B

B. Jiang

Format Sitasi

Jiang, B. (2023). A two-state Kalman estimator for atomic gravimetry. https://doi.org/10.1140/epjd/s10053-024-00888-6

Akses Cepat

Informasi Jurnal
Tahun Terbit
2023
Bahasa
en
Total Sitasi
Sumber Database
Semantic Scholar
DOI
10.1140/epjd/s10053-024-00888-6
Akses
Open Access ✓