Multilayer neural network-burg combination for acoustical detection of buried objects

Abstract EN

A Burg technique is employed to model the long wavelength localization and imaging problem.

A Burg method is used as a high resolution and stable technique.

The idea of in-line holography is used to increase the ratio of the signal to noise due to the effect of concealing media that decreases the value of the received signal.

The performance is enhanced by using multilayer neural network for noise reduction.

The aim of using multilayer neural network is to extract the essential knowledge from a noisy training data.

Theoretical and experimental results have showed that preprocessing the noisy data with multilayer neural network will decrease the effect of noise as much as possible.

Applying the enhanced data to spectral estimation methods has improved the performance of the model.

A comparison is made for the two cases : with and without application of neural network for different values of signal to noise ratio.

Also, the performance is investigated for different numbers of samples.