Enhancing UCA-ESPRIT for non-circular sources
Document Type
Conference Presentation
Department
Electrical and Computer Engineering
Conference Title
2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings
Date of Presentation
12-1-2007
Abstract
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 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.
DOI
10.1109/ISSPA.2007.4555343
Recommended Citation
Mathews, C. P.
(2007).
Enhancing UCA-ESPRIT for non-circular sources.
Paper presented at 2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings.
https://scholarlycommons.pacific.edu/soecs-facpres/442
