Multiband signal acquisition using improved modulated wideband converter

Abstract

In this study, the authors stress the problem of sampling and recovering sparse wideband signals. A new methodology for sparse multiband signal acquisition using sinusoidal frequency modulation (SMF) multiplier-based modulated wideband converter (MWC) is presented. The harmonic property of the SMF signals enables sparse multiband signal to be precisely recovered from the sub-Nyquist measurements without any high-speed devices. The proposed architecture offers very close recovery accuracy to the existing pseudorandom binary sequences (PRBS)-based MWC in the absence of the prior knowledge of sparse wideband signals, while it provides more accurate recovery performance than the PRBS-MWC in the presence of prior information concerning sparsity. Besides, the proposed architecture is easier for hardware implementation than the PRBS-MWC. The experimental results demonstrate the effectiveness of the proposed scheme.