Skip to Main Content
We address the problem of estimating the azimuth and elevation angles of multiple far-field signals in uniform circular arrays (UCAs) composed of identical sensor elements. Unlike previous search-free approaches, which strongly rely on the omni-directional element assumption, the element pattern is modelled as direction dependent. We have developed the UCA-RARE algorithm, a new computationally efficient eigenstructure-based estimation method operating in beamspace. The algorithm allows estimation of the azimuth parameters of the source directions decoupled from the elevation parameters without employing exact knowledge of the element pattern in a search-free procedure. The corresponding elevation angles are estimated in a subsequent step using a closed-form algorithm.