Recent advances on real-time direction finding strategies based on Bayesian Compressive Sensing (BCS) are discussed here. The open-circuit voltages measured at any instant of time (single snapshot data) are processed by the single-task and the multi-task Bayesian Compressive Sensing (ST-BCS and MT-BCS), combined with single frequency and multi-frequency approaches, respectively. In particular, the ST-BCS is integrated within an iterative multi-scaling strategy (IMSA-BCS) for narrowband signals and the MT-BCS is extended to the multi-frequency BCS (MF-BCS) for wideband signals. The selected results from an extensive analysis highlight that the proposed approaches estimate the DoAs with high accuracy in a fraction of second.
Advanced Real-Time Strategies for Direction Finding in Rapidly Changing Scenario / Rocca, Paolo; Hannan, Mohammad Abdul; Oliveri, Giacomo. - STAMPA. - (2019), pp. 1-4. (Intervento presentato al convegno COMCAS 2019 tenutosi a Tel Aviv nel 4th-6th November 2019) [10.1109/COMCAS44984.2019.8958275].
Advanced Real-Time Strategies for Direction Finding in Rapidly Changing Scenario
Rocca, Paolo;Hannan, Mohammad Abdul;Oliveri, Giacomo
2019-01-01
Abstract
Recent advances on real-time direction finding strategies based on Bayesian Compressive Sensing (BCS) are discussed here. The open-circuit voltages measured at any instant of time (single snapshot data) are processed by the single-task and the multi-task Bayesian Compressive Sensing (ST-BCS and MT-BCS), combined with single frequency and multi-frequency approaches, respectively. In particular, the ST-BCS is integrated within an iterative multi-scaling strategy (IMSA-BCS) for narrowband signals and the MT-BCS is extended to the multi-frequency BCS (MF-BCS) for wideband signals. The selected results from an extensive analysis highlight that the proposed approaches estimate the DoAs with high accuracy in a fraction of second.File | Dimensione | Formato | |
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Advanced Real-Time Strategies for Direction Finding in Rapidly Changing Scenario.pdf
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