Enhancing UCA-ESPRIT for non-circular sources
Electrical and Computer Engineering
2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings
Date of Presentation
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  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 centrosymmet-ric 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. ©2007 IEEE.
Mathews, C. P.
Enhancing UCA-ESPRIT for non-circular sources.
Paper presented at 2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings.