Enhancing UCA-ESPRIT for non-circular sources

UCA-ESPRIT is a subspace-based algorithm that is applicable to uniform circular arrays (UCAs). It is a closed-form algorithm that provides automatically paired estimates of the azimuth and elevation angles of multiple far-field plane waves incident on the circular array. Recent work [1] has shown how ESPRIT type algorithms can be enhanced when the signals incident on the array are non-circular signals such as BPSK or ASK. These enhancements were applicable only to arrays with centrosymmetric manifolds. This paper shows how UCAs can take advantage of the non-circular source enhancements (which include better estimator performance and the ability to resolve a higher number of sources) despite the fact that the UCA is not a centrosymmetric array.