The problem of the estimation of the directions-of-arrival (DoAs) in sub-arrayed planar arrays is addressed in this work by means of a strategy based on the Bayesian Compressive Sensing (BCS). The DoAs estimation performance for different sub-array configurations are discussed and compared, considering different noisy conditions. Preliminary numerical results are reported for single snapshot data to validate the proposed strategy.
A Compressive Sensing Approach for Directions-of-Arrival Estimation in Planar Sub-Arrayed Arrays / Hannan, Ma; Rocca, P. - (2022), pp. 01-03. (Intervento presentato al convegno 16th European Conference on Antennas and Propagation, EuCAP 2022 tenutosi a Madrid, Spain nel 27 March 2022 - 01 April 2022) [10.23919/EuCAP53622.2022.9769273].
A Compressive Sensing Approach for Directions-of-Arrival Estimation in Planar Sub-Arrayed Arrays
Hannan, MA;Rocca, P
2022-01-01
Abstract
The problem of the estimation of the directions-of-arrival (DoAs) in sub-arrayed planar arrays is addressed in this work by means of a strategy based on the Bayesian Compressive Sensing (BCS). The DoAs estimation performance for different sub-array configurations are discussed and compared, considering different noisy conditions. Preliminary numerical results are reported for single snapshot data to validate the proposed strategy.| File | Dimensione | Formato | |
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