AI Article Synopsis
- Sensitivity kernels analyze how changes in the environment affect the reception of broadband sound signals, focusing on the impact of medium sound speed variations.
- The research utilizes a first-order Born approximation to translate sound speed changes into pressure perturbations, allowing predictions of how transmissions react to these shifts.
- Time-reversal techniques are assessed in terms of pressure sensitivity, revealing that improvements occur primarily with multiple sources due to path independence and kernel overlap.
Article Abstract
Sensitivity kernels for receptions of broadband sound transmissions are used to study the effect of the transmitted signal on the sensitivity of the reception to environmental perturbations. A first-order Born approximation is used to obtain the pressure sensitivity of the received signal to small changes in medium sound speed. The pressure perturbation to the received signal caused by medium sound speed changes is expressed as a linear combination of single-frequency sensitivity kernels weighted by the signal in the frequency domain. This formulation can be used to predict the response of a source transmission to sound speed perturbations. The stability of time-reversal is studied and compared to that of a one-way transmission using sensitivity kernels. In the absence of multipath, a reduction in pressure sensitivity using time reversal is only obtained with multiple sources. This can be attributed both to the presence of independent paths and to cancellations that occur due to the overlap of sensitivity kernels for different source-receiver paths. The sensitivity kernel is then optimized to give a new source transmission scheme that takes into account knowledge of the medium statistics and is related to the regularized inverse filter.
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| http://dx.doi.org/10.1121/1.2924130 | DOI Listing |
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