The problem of the estimation of the directions-of-arrival (DoAs) in sub-arrayed linear arrays is addressed in this work by means of an innovative strategy based on the Bayesian Compressive Sensing (BCS). The performance on the DoAs estimation for different sub-array configurations is discussed and compared with those of a fully-populated array for different noisy conditions. A set of preliminary numerical results is reported to highlight the behavior of the proposed method by taking into account data measured at a single time snapshot.
Directions-of-arrival estimation in linear sub-arrayed array through compressive sensing / Hannan, M. A.; Rocca, P.. - STAMPA. - (2019), pp. 41-42. (Intervento presentato al convegno APSURSI 2019 tenutosi a Atlanta, GA nel 7th-12th July 2019) [10.1109/APUSNCURSINRSM.2019.8889296].
Directions-of-arrival estimation in linear sub-arrayed array through compressive sensing
Hannan M. A.;Rocca P.
2019-01-01
Abstract
The problem of the estimation of the directions-of-arrival (DoAs) in sub-arrayed linear arrays is addressed in this work by means of an innovative strategy based on the Bayesian Compressive Sensing (BCS). The performance on the DoAs estimation for different sub-array configurations is discussed and compared with those of a fully-populated array for different noisy conditions. A set of preliminary numerical results is reported to highlight the behavior of the proposed method by taking into account data measured at a single time snapshot.| File | Dimensione | Formato | |
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Directions-of-Arrival Estimation in Linear Sub-Arrayed Array Through Compressive Sensing.pdf
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