Abstract
In this paper, we modify the modulated wideband converter (MWC), which is a compressive sensing-based sub-Nyquist sampling system, to acquire signals with time-varying spectral support. We begin by introducing a rectangular window function into MWC. Then, we study how the window function affects MWC. Theoretical analysis shows that after incorporating window function, there is no way to directly recover the original signal. Therefore, we convert this issue into a block sparse signal recovery problem by concatenating rows of the measurement matrix. Finally, we present a special version of block matching pursuit algorithm (BMP) to solve the block sparsity recovery problem. Simulation result shows that the modified MWC can acquire signals with time-varying spectral support and the BMP is adequate for reconstructing the target signal.
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