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Signal Eigenvector Method For General Array Signal Processing

A high resolution algorithm is presented for resolving multiple incoherent and coherent plane waves incident on an array of sensors. The incident sources may be a mixture of narrowband and broadband sources, and, the array's geometry is unrestricted. This algorithm makes use of a fundamental property associated with the signal eigenvectors of the array's spectral density matrix. Specifically, it is shown that these signal eigenvectors may be represented as linear combinations of steering vectors which identify the directions of the incident plane waves. As such, linear algebraic methods may be efficiently used to estimate the plane wave directions-of-arrivals. Simulation results are presented to illustrate the high resolution performance achieved with this new approach relative to that obtained with smoothed MUSIC and the Wang-Kaveh algorithms.