title: An eigenvector-based test for local stationarity applied to array processing.
abstract: In sonar array processing, a challenging problem is the estimation of the data covariance matrix in the presence of moving targets in the water column, since the time interval of data local stationarity is limited. This work describes an eigenvector-based method for proper data segmentation into intervals that exhibit local stationarity, providing data-driven higher bounds for the number of snapshots available for computation of time-varying sample covariance matrices. Application of the test is illustrated with simulated data in a horizontal array for the detection of a quiet source in the presence of a loud interferer.
authors.affiliation: School of Earth and Ocean Sciences, University of Victoria, 3800 Finnerty Road, Victoria British Columbia V8P 5C2, Canada jorgeq@uvic.ca.
authors.forename: Jorge E
authors.initials: JE
authors.lastname: Quijano
authors.affiliation: Northwest Electromagnetics and Acoustics Research Laboratory, Portland State University, 17 SW 4th Avenue, Portland, Oregon 97201 zurkl@pdx.edu.
authors.forename: Lisa M
authors.initials: LM
authors.lastname: Zurk