2020
DOI: 10.1088/1361-6420/ab8484
|View full text |Cite
|
Sign up to set email alerts
|

Uniqueness of an inverse source problem in experimental aeroacoustics

Abstract: This paper is concerned with the mathematical analysis of experimental methods for the estimation of the power of an uncorrelated, extended aeroacoustic source from measurements of correlations of pressure fluctuations. We formulate a continuous, infinite dimensional model describing these experimental techniques based on the convected Helmholtz equation in R 3 or R 2 . As a main result we prove that an unknown, compactly supported source power function is uniquely determined by idealized, noise-free correlati… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
21
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
5
1

Relationship

3
3

Authors

Journals

citations
Cited by 10 publications
(21 citation statements)
references
References 46 publications
0
21
0
Order By: Relevance
“…A similar equivalence was proven in [21], where the authors show that, in an ideal setting where the spatial covariance matrix is perfectly known in an open, continuous domain, the infinite dimensional equations to be solved to match the unknown source power distribution to the beamforming map, or to the spatial covariance matrix, are equivalent. This result does not apply in practice, where measurements are noisy and discrete, covariances are estimated, and the problems are frequently illconditioned.…”
Section: Covariance Matrix Fitting Problemmentioning
confidence: 59%
“…A similar equivalence was proven in [21], where the authors show that, in an ideal setting where the spatial covariance matrix is perfectly known in an open, continuous domain, the infinite dimensional equations to be solved to match the unknown source power distribution to the beamforming map, or to the spatial covariance matrix, are equivalent. This result does not apply in practice, where measurements are noisy and discrete, covariances are estimated, and the problems are frequently illconditioned.…”
Section: Covariance Matrix Fitting Problemmentioning
confidence: 59%
“…Problems of this kind arise in a variety of applications, e.g. in fluorescence tomography [1,30], inverse scattering [6,13], or source identification [17], but also as linearizations of related nonlinear inverse problems, see e.g., [8,34] or [23] and the references given there. In such applications, U typically models the propagation of excitation fields generated by the sources, D describes the interaction with the medium to be probed, and V models the emitted fields which can be recorded by the detectors.…”
Section: Introductionmentioning
confidence: 99%
“…Proof. The proof boils down to an application of Proposition 2.1 and the asymptotic behavior of the no-flow Green's function, see [HRS20].…”
Section: Asymptotic Behaviormentioning
confidence: 99%
“…In particular this includes a formulation of the forward operator on infinite dimensional vector spaces. Essentially we treat the mathematical framework that was presented in [HRS20] in some more detail and generality. The main result consists of a uniqueness theorem which is valid for both free-field and waveguide geometries.…”
Section: Inverse Source Problem In Aeroacousticsmentioning
confidence: 99%
See 1 more Smart Citation