The multivalued Bartlett processor and source tracking

A matched‐field processing algorithm based on the eigenvectors of the covariance matrix is developed for localization problems involving interference from multiple sources and ambient noise. Since the multivalued Bartlett processor is related to the Bartlett processor, it should be more robust in practice than eigenprocessors that are related to the maximum likelihood processor. This eigenprocessor also has the advantage that it provides well‐defined estimates of the locations of multiple sources. An example involving moving sources and ambient noise illustrates that matched‐field eigenprocessing requires source motion in order to be reliable when there are multiple sources.