This paper investigates the application of Compressive Sampling (CS) for the realization of a Vector Signal Analyzer (VSA) node for distributed spectrum monitoring. Herein, the non-uniform sampling approach is proposed for the signal acquisition section of the node, under the assumption of sparsity of the acquired signal in the frequency domain. A simulation analysis has been conducted to assess several figures of merit, characterizing the performance in the frequency and modulation domains. The obtained results demonstrate that the CS could reduce the amount of acquired samples by a factor greater than 10, while still complying with the accuracy required by spectrum monitoring applications.
Compressive sampling-based vector signal analysis for distributed spectrum monitoring
de Vito L.;Picariello F.;Rapuano S.;Tudosa I.
2020-01-01
Abstract
This paper investigates the application of Compressive Sampling (CS) for the realization of a Vector Signal Analyzer (VSA) node for distributed spectrum monitoring. Herein, the non-uniform sampling approach is proposed for the signal acquisition section of the node, under the assumption of sparsity of the acquired signal in the frequency domain. A simulation analysis has been conducted to assess several figures of merit, characterizing the performance in the frequency and modulation domains. The obtained results demonstrate that the CS could reduce the amount of acquired samples by a factor greater than 10, while still complying with the accuracy required by spectrum monitoring applications.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
