Carlin, M. and Rocca, P. and Oliveri, G. and Massa, A. (2016) Numerical Analysis of the DoA estimation through BCS. Technical Report. University of Trento.
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Abstract
This report deals with the Direction of arrival (DoA) estimation problem formulated within the Bayesian Compressive Sensing (BCS) framework. The performances of a novel method that directly works on the voltages measured at the output of the array elements without requiring the computation of the covariance matrix and that provide accurate and reliable DoAs estimation also without the a-priori knowledge on the number of incident signals have been investigated. The effectiveness of the proposed approach is assessed through an extensive numerical analysis addressing different scenarios, signal configurations, and noise conditions.
| Item Type: | Monograph (Technical Report) |
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| Uncontrolled Keywords: | Compressive Sensing, Direction-of-Arrival, Support Vector Machine, Array Synthesis, Inverse Scattering. |
| Subjects: | M Methodologies > M CS Compressive Sensing M Methodologies > M LBE Learning-by-Example Methods |
| URI: | http://www.eledia.org/students-reports/id/eprint/702 |
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