Source localization using MUSIC and selection of sensor number and distance

In this paper, two methods are showed to identify the seismic source using an array signal processing technique. One method is applicable when there are multiple sources, and it identifies the directions of the sources, and the other one estimates the distance and angular position of a single seismic source. Both the methods uses MUltiple SIgnal Classifier (MUSIC) for array signal processing. In case of multiple sources, the resolvability of two closely spaced sources depends on the number of sensors and the distances between them. A method is shown to evaluate the number of sensors and the distances between them to resolve two closely spaced sources with known angular difference between them. All the results shown in this paper are generated from synthetic data.