Reconciling Compressive Sampling Systems for Spectrally-sparse Continuous-time Signals

TL;DR

This paper compares two compressed sensing systems for spectrally-sparse signals, analyzing their similarities, differences, and robustness, and introduces a new system leveraging block sparsity for improved sampling and reconstruction.

Contribution

It provides a detailed comparison of the RD and MWC systems, highlighting their fundamental differences and introducing a novel acquisition system based on block sparsity.

Findings

RD and MWC are based on random filtering but use different sampling functions.

Both systems' sensitivities to sparse signal models are analyzed.

A new system for block-sparse signals is proposed, leveraging 'block convolution'.

Abstract

The Random Demodulator (RD) and the Modulated Wideband Converter (MWC) are two recently proposed compressed sensing (CS) techniques for the acquisition of continuous-time spectrally-sparse signals. They extend the standard CS paradigm from sampling discrete, finite dimensional signals to sampling continuous and possibly infinite dimensional ones, and thus establish the ability to capture these signals at sub-Nyquist sampling rates. The RD and the MWC have remarkably similar structures (similar block diagrams), but their reconstruction algorithms and signal models strongly differ. To date, few results exist that compare these systems, and owing to the potential impacts they could have on spectral estimation in applications like electromagnetic scanning and cognitive radio, we more fully investigate their relationship in this paper. We show that the RD and the MWC are both based on the general concept of random filtering, but employ significantly different sampling functions. We also investigate system sensitivities (or robustness) to sparse signal model assumptions. Lastly, we show that "block convolution" is a fundamental aspect of the MWC, allowing it to successfully sample and reconstruct block-sparse (multiband) signals. Based on this concept, we propose a new acquisition system for continuous-time signals whose amplitudes are block sparse. The paper includes detailed time and frequency domain analyses of the RD and the MWC that differ, sometimes substantially, from published results.