Eigenvalue shift supperresolution algorithm

This paper provides a new approach to spatial spectral estimation, called eigenvalue shift superresolution algorithm (ESSA). This method avoids the inverse covariance matrix. It can be applied to the processing of data received by spatially distributed arrays of sensors.