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
Mohammad Abdul Hannan
Primo
;Paolo Rocca
Ultimo
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 in questo prodotto:
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