Far field array processing with neural networks

Abstract

Source localisation is among the most important steps in array processing. The authors present a neuromimetic approach in signal processing. A set of neural networks is used to find the azimuth of one or several sources impinging on a linear array of equally spaced sensors. Each network in this set is specialised to determine if there is an emitter in a given angular sector. Thus a neural network has a specific architecture suited to detect and enhance the signal coming from the angular sector it is associated with. The performances of this method on real underwater signals confirm the encouraging results obtained on simulation tests.<>