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
Hannan M. A.;
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
