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  Ranging Sensor Fusion in LISA Data Processing: Treatment of Ambiguities, Noise, and On-Board Delays in LISA Ranging Observables

Reinhardt, J.-N., Staab, M., Yamamoto, K., Bayle, J.-B., Hees, A., Hartwig, O., et al. (2024). Ranging Sensor Fusion in LISA Data Processing: Treatment of Ambiguities, Noise, and On-Board Delays in LISA Ranging Observables. Physical Review D, 109(2): 022004. doi:10.1103/PhysRevD.109.022004.

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 Creators:
Reinhardt, Jan-Niklas1, Author           
Staab, Martin1, Author           
Yamamoto, Kohei1, Author           
Bayle, Jean-Baptiste, Author
Hees, Aurélien, Author
Hartwig, Olaf1, Author           
Wiesner, Karsten1, Author           
Heinzel, Gerhard1, Author           
Affiliations:
1Laser Interferometry & Gravitational Wave Astronomy, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society, ou_24010              

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Free keywords: General Relativity and Quantum Cosmology, gr-qc, Astrophysics, Instrumentation and Methods for Astrophysics, astro-ph.IM
 Abstract: Interspacecraft ranging is crucial for the suppression of laser frequency
noise via time-delay interferometry (TDI). So far, the effect of on-board
delays and ambiguities in the LISA ranging observables was neglected in LISA
modelling and data processing investigations. In reality, on-board delays cause
offsets and timestamping delays in the LISA measurements, and PRN ranging is
ambiguous, as it only determines the range up to an integer multiple of the
pseudo-random noise (PRN) code length. In this article, we identify the four
LISA ranging observables: PRN ranging, the sideband beatnotes at the
interspacecraft interferometer, TDI ranging, and ground-based observations. We
derive their observation equations in the presence of on-board delays, noise,
and ambiguities. We then propose a three-stage ranging sensor fusion to combine
these observables in order to gain optimal ranging estimates. We propose to
calibrate the on-board delays on ground and to compensate the associated
offsets and timestamping delays in an initial data treatment (stage 1). We
identify the ranging-related routines, which need to run continuously during
operation (stage 2), and implement them numerically. Essentially, this involves
the reduction of ranging noise, for which we develop a Kalman filter combining
the PRN ranging and the sideband beatnotes. We further implement crosschecks
for the PRN ranging ambiguities and offsets (stage 3). We show that both
ground-based observations and TDI ranging can be used to resolve the PRN
ranging ambiguities. Moreover, we apply TDI ranging to estimate the PRN ranging
offsets.

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 Dates: 2023-07-112024
 Publication Status: Issued
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 Identifiers: arXiv: 2307.05204
DOI: 10.1103/PhysRevD.109.022004
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Title: Physical Review D
Source Genre: Journal
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Pages: - Volume / Issue: 109 (2) Sequence Number: 022004 Start / End Page: - Identifier: -