A state space algorithm for wide-band source localization

High-resolution subspace algorithms have proved to be very useful in locating point sources radiating narrow-band waves. Here, we introduce a subspace method for estimating the angles-of-arrival of multiple wide-band signals, such as in acoustic emission. This state space approach is applicable under the assumptions that the sensor array consists of doublets and that the wide-band signals can be modeled as the output of a linear time-invariant system driven by white noise.<<ETX>>