Multilayer Neural Network-Burg Combination for Acoustical Detection of Buried Objects

A Burg technique is employed to model the long wavelength localization and imaging problem. A Burg method isused as a high resolution and stable technique. The idea of in-line holography is used to increase the ratio of the signal tonoise due to the effect of concealing media that decreases the value of the received signal. The performance is enhanced byusing multilayer neural network for noise reduction. The aim of using multilayer neural network is to extract the essentialknowledge from a noisy training data. Theoretical and experimental results have showed that preprocessing the noisy datawith multilayer neural network will decrease the effect of noise as much as possible. Applying the enhanced data to spectralestimation methods has improved the performance of the model. A comparison is made for the two cases: with and withoutapplication of neural network for different values of signal to noise ratio. Also, the performance is investigated for differentnumbers of samples