Source sensitivity kernels: A new tool for noise cross-correlation studies (SSK)
Abstract
The proposal addresses the development of a wave-theoretic tool, the source sensitivity kernel (SSK), to describe the sensitivity of the finite-frequency cross-correlation output to the locality of the noise sources in a refractive ocean environment. Using the SSK, a targeted selection of contributing noise sources can be carried out, focusing on periods where the sources are located in high sensitivity areas, and thus improving the signal to noise ratio (SNR). The proposed work aims at developing a wave-theoretic framework for the study of the crosscorrelation sensitivity to the locality of the noise sources. In this framework a kernel will be derived describing the spatial distribution of the contributions to the cross-correlation function at any given time-lag value, depending on the propagation conditions, as well as on the frequency characteristics (central frequency, bandwidth) of the received signals. The behavior of the source sensitivity kernel in different environments and with changing geometries and frequency characteristics will be studied. Further, the wave-theoretic source sensitivity kernels will be compared with the corresponding ray-theoretic kernels – the extensions of the eigenrays connecting the two receivers – and the corresponding directivity patterns.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- May 23, 2019
- Source ID
- N629091912063
Entities
People
- Emmanuel Skarsoulis
Organizations
- Foundation for Research and Technology – Hellas
- Office of Naval Research
- United States Navy